Sazzad Hussain Farhaan

Sazzad Hussain Farhaan

AI Researcher & Machine Learning Engineer

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About Me

Passionate about advancing Explainable AI and Multimodal Machine Learning for real-world impact

I am an AI Researcher with 5+ years of professional and academic experience, aiming to specialize in Explainable Artificial Intelligence (XAI) and Multimodal Machine Learning. My work focuses on developing interpretable, fair, and ethically aligned machine learning systems.

Currently serving as an Business Intelligence Analyst at CS Meta Limited, I have successfully improved model performance by 23% and enhanced training efficiency by 40% through innovative prompt engineering and system optimization.

My research interests lie at the intersection of Multimodal Machine Learning, Machine Unlearning, and Ethical AI, with applications in healthcare, precision medicine, and social good initiatives. I aspire to pursue doctoral studies to advance both academic and applied AI through innovative, transparent, and socially responsible research.

100+ Students Mentored
5+ Years Experience
11 Research Papers
15+ Major Projects

Research Interests

Exploring advanced, interpretable, and ethically aligned AI systems across disciplines

Explainable & Trustworthy AI

Developing interpretable and verifiable AI frameworks that ensure model transparency, accountability, and fairness—particularly in healthcare and education.

Multimodal & Biomedical AI

Integrating imaging, genomic, and physiological signals to build predictive models for radiotherapy outcomes, cardiovascular diagnostics, and early cancer detection.

LLM Safety & Alignment

Designing formal reasoning frameworks for hallucination mitigation, metareasoning, and contract-based validation to enhance safety in large language models.

Quantum & Theoretical Machine Learning

Investigating operator-theoretic and mathematical foundations for quantum machine learning to advance interpretability and optimization in hybrid AI systems.

Neurosymbolic & Cognitive AI

Bridging symbolic reasoning and neural networks to model human-like inference, reflective thinking, and guided learning architectures.

AI for Social & Sustainable Development

Applying machine learning for socio-technical impact—spanning social entrepreneurship, environmental monitoring, and inclusive education in low-resource settings.

Research Publications

Contributing to AI, healthcare, and computational intelligence through scholarly publications

Enhancing Student Engagement and Performance Evaluation

2024 Springer LNNS Vol. 833 Published

An integrated approach for quality Learning Management Systems (LMS) using NLP-driven evaluation metrics and AI-based engagement analysis.

NLP Educational AI Data Analytics

Advancing Fish Species Identification in Bangladesh

2024 Springer LNNS Vol. 834 Published

Deep learning approaches for accurate freshwater fish recognition using CNN architectures and computer vision for biodiversity management.

CNN Computer Vision Deep Learning

A Theoretical Framework for Multi-Modal AI in Longitudinal Prediction of Radiotherapy Outcomes

2025 Taylor & Francis BIM2025 Accepted

Proposes a multi-modal AI framework for radiotherapy outcome prediction, integrating imaging, genomic, and longitudinal data streams for oncology research.

Multimodal AI Radiotherapy Precision Medicine

Early-Stage Coronary Artery Disease Prediction Using Coronary Angiogram

2025 Taylor & Francis BIM2025 Accepted

Computer vision–based framework for detecting coronary artery stenosis in low-resource settings using deep convolutional networks on angiogram images.

Medical Imaging Deep Learning CAD Detection

Harnessing Social Media to Advance Social Entrepreneurship in Bangladesh

2025 Springer ISBM2025 Accepted

A qualitative study exploring how digital engagement and social platforms can strengthen social entrepreneurship ecosystems in Bangladesh.

Social Media Analytics Entrepreneurship Qualitative AI

AI-Enhanced Bioimpedance Spectroscopy for Early Tumour Detection

2025 Under Review (BECITHCON2025)

Proposes a theoretical AI framework for tumor detection using bioimpedance spectroscopy combined with deep feature extraction techniques.

Bioimpedance AI Signal Processing

Attention-Guided Segmentation for Smartphone-Based Oral Cancer Screening

2025 Under Review (BECITHCON2025)

Introduces a progressive learning model using attention-guided segmentation for low-cost oral cancer screening in developing countries.

Medical AI Segmentation Attention Networks

Regret-Bounded Metareasoning for LLM Test-Time Compute

2025 Under Review (ICCITconf2025)

A unified framework introducing value-of-information (VoI) guided stopping and adaptive compute budgets for large language models.

LLM Metareasoning Adaptive Compute

Guided Inference Networks: A Formal Framework for Intellectual Stimulation and Human Reasoning in AI

2025 Under Review (ICCITconf2025)

Introduces a cognitive-inspired architecture enabling structured reasoning and reflective inference processes within LLMs.

Cognitive AI Reasoning LLM Frameworks

Minimal Hallucination via Contracts & Sanity Checks (MiHaCo)

2025 Under Review (RAAICON2025)

A formal model ensuring verifiable reasoning in LLMs using contract-based inference and logical sanity validation layers.

LLM Safety Verification Formal Methods

Operator-Theoretic Framework for Interpretable Quantum Machine Learning

2025 Under Review (SPICSCON2025)

Proposes a theoretical operator-theoretic approach to improve interpretability in quantum machine learning models.

Quantum ML Explainable AI Mathematical Modelling

Few-Shot Adaptive Segmentation and Curriculum Learning for Equitable Oral Cancer Screening

2026 Under Review (QPAIN2026)

Novel approach combining few-shot learning and curriculum strategies for accessible oral cancer detection in resource-limited settings.

Few-Shot Learning Medical AI Curriculum Learning

Categorical Bias Detection in Multilingual Models via Linguistic Typology

2026 Under Review (ECCT2026)

A predictive ML and Transformer-based approach for detecting categorical bias in multilingual language models using linguistic typology frameworks.

Multilingual NLP Bias Detection Transformers

Pixel and Filtration Hallucination in Large Vision–Language Models

2026 Under Review (ECCT2026)

Bridging optical physics and multimodal representation learning to address hallucination phenomena in vision-language models.

Vision-Language Models Hallucination Detection Multimodal AI

Evaluating the Effectiveness of Low-Dose Antihypertensive Therapy in Preventing Recurrent Pre-Eclampsia

2026 Under Review (WIDS2026)

Clinical research evaluating therapeutic interventions for pregnancy-related hypertension using data-driven analysis methodologies.

Healthcare AI Clinical Research Medical Statistics

Featured Projects

Innovative AI solutions addressing real-world challenges

AI Chat Summarizer with Intelligent NLP

Hosted on Render Conversational AI

Full-stack conversational AI application with advanced text summarization using TF-IDF, TextRank, and frequency-based approaches with intelligent fallback mechanisms.

Google Gemini API FastAPI Streamlit NLTK TextRank Algorithm TF-IDF

EquiJob - AI-Driven Bias Detection

20,000 Job Descriptions 30 Countries

Built a comprehensive dataset and tool to detect and analyze gender-biased terms in job descriptions, generating gender-neutral alternatives using advanced NLP techniques.

Word2Vec GloVe BERT GPT Beautiful Soup Selenium

Early Detection of Alzheimer's Disease

99.22% Accuracy 6,400 MRI Images

Developed a CNN-based model for early Alzheimer's detection using MRI images. Deployed as a REST API with Docker and Streamlit, hosted on Hugging Face Spaces.

TensorFlow PyTorch OpenCV CNN Transfer Learning Docker FastAPI

Professional Experience

Building expertise across AI, Data Science, and Education

Research Assistant (Part-time)

VECTOR Research Lab, Dhaka, Bangladesh

01/2026 – Present
  • Conducting experiments including dataset pre-processing, model implementation, and results analysis for ongoing research projects.
  • Supporting research initiatives through comprehensive literature reviews, code development, and documentation for academic publications.
  • Collaborating with research team on cutting-edge AI projects spanning computer vision, NLP, and multimodal learning applications.

Machine Learning Instructor

Stamford University Bangladesh, Dhaka, Bangladesh

10/2025 – Present
  • Design and deliver undergraduate Machine Learning curriculum emphasizing model development and deployment.
  • Mentor students on practical, research-oriented projects fostering applied problem-solving and technical depth.

Business Intelligence Analyst

CS Meta Limited, Dhaka, Bangladesh

08/2024 – Present
  • Trained and led a 10-member analytics team and advised on LLM-driven business intelligence strategies.
  • Built ETL pipelines using Python (Pandas, SQLAlchemy) and Airflow, reducing data refresh time by 66% for Power BI dashboards.
  • Deployed time-series forecasting models (Prophet, Scikit-Learn), increasing BI adoption from 25% to 75% across departments.

Project Coordinator (AI Data Training)

Genmorphics AI Solutions, Dhaka, Bangladesh

05/2024 – 04/2025
  • Designed 1,200+ engineering prompts for LLM training, improving model performance by 23%.
  • Enhanced training efficiency by 40% via scheduling automation, refined prompts, and performance checkpoints.

Associate AI Developer

Web and More Limited, London, United Kingdom

04/2024 – 10/2024
  • Enhanced image processing speed by 30% using OpenCV-based denoising and OCR optimization.
  • Reduced OCR errors via custom preprocessing filters and deployed ML modules with Docker for backend integration.

Machine Learning Instructor

Creative IT Institute, Dhaka, Bangladesh

11/2021 – 02/2024
  • Trained over 100 students in AI and ML with a 90% course completion rate across 4 cohorts.
  • Built AWS-based MLOps environments using Docker, EC2, and MLflow for real-world deployment training.
  • Mentored 30+ student projects showcased at national hackathons and innovation contests.

Internships & Fellowships

Hands-on contributions to global AI and data-driven initiatives

Data Scientist (Fellowship)

Fellowship.AI, San Francisco, California, USA

10/2023 – 12/2023
  • Top 4 Contributor: Integrated Open-Source Large Action Models from Hugging Face into Travel Agent using Amadeus API.
  • Developed LAM pipelines and expertise in Transformer Architectures, FastAI, LangChain, and spaCy.
  • Built modular ETL workflows and communicated project updates through Agile sprints and collaborative documentation.

Machine Learning Engineer (Internship)

Omdena, Toronto, Canada

09/2023 – 03/2024
  • Web scraping (Selenium, Beautiful Soup) and comprehensive EDA to curate datasets of 50,000+ entries for model training.
  • Applied CNN, RNN, LSTM, Transformers, and ResNet architectures to computer vision tasks; recognized as top collaborator.
  • Deployed and demonstrated models using FastAPI and Streamlit for real-time inference.

Undergraduate Teaching Assistant

University of Liberal Arts Bangladesh, Dhaka, Bangladesh

11/2017 – 04/2019
  • Supported faculty by grading, leading lab sessions, and assisting in programming and calculus modules.
  • Provided 1-on-1 mentoring to over 150 students, improving engagement and academic performance.

Technical Competencies

Comprehensive expertise across AI/ML technologies and development tools

Programming Languages

Python, SQL, JavaScript

Machine Learning & Deep Learning

Supervised/Unsupervised Learning, CNNs, RNNs, LSTM, Transformer Architectures, Transfer Learning, Attention Mechanisms

Computer Vision

Edge Detection, Image Denoising, Object Detection, Image Segmentation, OCR, Morphological Operations

Libraries & Frameworks

TensorFlow, Keras, PyTorch, DLTK, OpenCV, Scikit-learn, NumPy, SciPy, Tesseract OCR, Seaborn, spaCy, Hugging Face Transformers, Streamlit, FastAPI, LangChain, n8n, CrewAI

Tools & Platforms

Git, GitHub, Jupyter Notebooks, HuggingFace, Docker, AWS Sagemaker, Roboflow, Data Annotation, LaTeX, SPSS, Power BI, Beautiful Soup, Selenium, React Native, Expo CLI

Data Science & Analytics

NumPy, SciPy, Pandas, Seaborn, SPSS, Data Annotation, ETL Processes, Statistical Analysis, Roboflow

Awards & Recognition

Honoured for academic excellence, leadership, and innovation in AI and technology

The Gold Standard Awardee

The Duke of Edinburgh’s International Award 2025 — Presented by the British High Commissioner for achieving the Gold Standard in skill, physical recreation, social welfare, and adventurous activities.

The Silver Standard Awardee

The Duke of Edinburgh’s International Award 2024 — Achieved the Silver Standard for excellence in personal development and community service.

The Bronze Standard Awardee

The Duke of Edinburgh’s International Award 2022 — Completed Bronze level in skill, physical recreation, and social welfare activities.

Lead Volunteer – IJCCI 2019

Led a 50-member volunteer team to organize the International Joint Conference on Computational Intelligence 2019, earning national recognition for event leadership.

Peer Mentor Award

Recognised by ULAB Student Affairs Office 2019 for mentoring first-year students and supporting their academic transition and growth.

Lead Publication – IEEE Team SPARK

Certificate of Appreciation (2019) from IEEE Computer Society Bangladesh Chapter for outstanding contributions as Publication Lead in Team SPARK.

Volunteer – IEEE WIE International Leadership Summit 2018

Received Certificate of Appreciation from IEEE Women in Engineering and IEEE Bangladesh Section for leadership and coordination in international summit activities.

Vice Chancellor’s Honours List

University of Liberal Arts Bangladesh (ULAB), Summer 2016 — Merit-based scholarship worth USD 3,500 for academic excellence in Computer Science and Engineering.

Top 40 – NASA Space Apps Challenge 2018

Regional Round project: Sustainable Multi-Source Energy Harvesting System — Hybrid Photovoltaic Array for Solar and Raindrop Energy Conversion.

Champion – ULAB Techfest 2019

1st Place in Idea Contest for “AI Integrated Wellness Tracker” — an application for personalized nutrition and exercise optimization.

1st Runner-Up – ULAB Techfest 2019 (Poster Display)

Project: Acoustic Energy Harvesting in Urban Environments — Converting Noise Pollution into Sustainable Electric Power.

Co-Curricular & Leadership Experience

Fostering innovation, collaboration, and leadership across academic and professional communities

Chairperson, IEEE Computer Society ULAB Student Branch Chapter

IEEE Computer Society Bangladesh Chapter

04/2019 – 08/2020
  • Founding Chairperson of the Student Branch Chapter, leading 25+ collaborative and internal technical events.
  • Developed long-term operational plans, expanding membership base and ensuring sustainability through structured committees.
  • Built partnerships with IEEE regional bodies to increase inter-university engagement in AI and computing workshops.

Chairperson, IEEE ULAB Student Branch

Institute of Electrical and Electronics Engineers (IEEE)

04/2018 – 04/2019
  • Prepared and executed the Annual Branch Plan, coordinating 20+ flagship national and international events.
  • Increased branch membership by 250%, strengthening student engagement and outreach across the region.
  • Collaborated with faculty advisors and IEEE Bangladesh Section to organize workshops on robotics, AI, and innovation leadership.

Lead Publication, Team SPARK

IEEE Computer Society Bangladesh Chapter

07/2019 – 08/2020
  • Coordinated publication initiatives among 23 IEEE-affiliated universities in Bangladesh, promoting student research visibility.
  • Curated newsletters and research highlights bridging academia and industry through IEEE CS Bangladesh Chapter activities.
  • Received Certificate of Appreciation for outstanding contributions as Publication Lead.

Secretary, IEEE CS ULAB Student Branch Chapter

IEEE Computer Society

08/2017 – 04/2018
  • Facilitated collaboration between IEEE Student Branches to initiate joint research and technical projects.
  • Managed communications between regional sections and branch committees, increasing membership from 10 to 70+ students.

Treasurer, IEEE ULAB Student Branch

Institute of Electrical and Electronics Engineers (IEEE)

07/2016 – 08/2017
  • Maintained accurate financial records and coordinated event budgets for branch activities and sponsorships.
  • Negotiated with event partners to secure funding and logistical support for technology-driven student initiatives.

Education

Academic foundation in computer science and engineering

Bachelor of Science in Computer Science and Engineering

University of Liberal Arts Bangladesh (ULAB), Dhaka

01/2016 – 01/2021

CGPA: 3.69 on a scale of 4.00 | Scholarship: Vice Chancellor's Honours List (Merit-based, USD 3,500)

Thesis: Natural Language Processing-based Quality Learning Management System for Student Evaluation and Engagement Metrics

Thesis Supervisor: Prof. Nafees Mansoor, PhD

English Proficiency: IELTS Band Score 7 (Listening: 8, Reading: 6.5, Writing: 6.5, Speaking: 7)

Relevant Courses: Algorithms, Data Structures, Artificial Intelligence, Operating Systems, Differential & Integral Calculus, Discrete Mathematics, Probability & Statistics, Database Systems, Theory of Computation, Software Engineering, Robotics

Ongoing Training: AI-Based Software Development with Python

Innovative Skills Bangladesh, Dhaka

03/2025 – Ongoing

Focus Areas: Python, Django, Full-Stack Web Development, RESTful APIs, PostgreSQL, Pytest, Docker, AWS EC2

Digital Media Strategy & Marketing

8+ Years of Data-Driven Advertising Expertise & 90+ Successful Client Campaigns

Transform Your Business with Data-Driven Digital Advertising

Beyond AI research, I bring 8+ years of proven expertise as a Digital Media Strategist, helping 90+ businesses across diverse industries maximize their digital presence and achieve measurable ROI through strategic advertising campaigns across Meta, Google, YouTube, and LinkedIn.

Who I Am

I'm Sazzad Hussain Farhaan, a digital media strategist with 8+ years of proven experience since 2017. I've helped over 90 businesses across diverse industries maximize their digital presence and achieve measurable results through strategic advertising campaigns.

My Dual Expertise:

🎯 Digital Media Buying
Specializing in creating high-ROI campaigns across multiple platforms

🤖 Machine Learning Engineering
Leveraging AI and data science to optimize campaigns and predict market trends

I don't just run ads—I engineer success through data-driven strategies, precise targeting, and continuous optimization. Whether you're a startup looking to make your mark or an established business aiming to scale, I'll craft a customized strategy that delivers real results.

Why Choose Me?

8+ Years of Experience
Since 2017, consistently delivering results

90+ Satisfied Clients
From small businesses to established brands

Multi-Platform Mastery
Expert across Meta, Google, YouTube & LinkedIn

Data-Driven Approach
ML engineering background for optimized campaigns

Proven Track Record
Measurable ROI improvements across industries

End-to-End Service
From strategy to execution and analysis

Platforms I Master

Meta Ads (Facebook & Instagram)

Advanced audience targeting, dynamic creative optimization, retargeting, Stories & Reels ads, lead generation, and catalog commerce.

Google Ads

Search network campaigns, display advertising, shopping campaigns, performance max, remarketing, and RLSA strategies.

YouTube Ads

Video discovery ads, in-stream campaigns, bumper ads, action campaigns, audience targeting, and YouTube Shorts advertising.

LinkedIn Ads

B2B lead generation, sponsored content, dynamic ads, professional targeting, ABM strategies, and conversion tracking.

Services Offered

Social Media Strategy

Comprehensive market research, competitor analysis, audience personas, content planning, and KPI definition tailored to your business goals.

Strategy Research Analytics

Campaign Management

Full-service campaign setup, execution, A/B testing, budget optimization, and continuous performance refinement across all platforms.

Execution Optimization A/B Testing

Content Strategy

Content audit, brand voice development, copywriting, visual strategy, and performance analysis to drive engagement and conversions.

Content Copywriting Visual Design

Data Analysis & Optimization

Deep-dive analytics, customer journey mapping, conversion funnel analysis, predictive modeling, and custom dashboards for actionable insights.

Analytics Python ML Models

ML & AI Integration

Predictive audience modeling, automated bid optimization, customer lifetime value prediction, churn prevention, and sentiment analysis.

Machine Learning Prediction AI Optimization

Consulting & Strategy

Expert guidance on platform selection, audience targeting, budget allocation, and long-term marketing strategy tailored to your industry.

Consulting Strategy B2B/B2C

Campaign Objectives

Lead Generation

Build a strong customer pipeline with high-quality leads through message conversations, instant forms, call campaigns, and gated content.

Sales & Conversions

Turn interest into revenue with optimized conversion campaigns including product catalogs, dynamic remarketing, and abandoned cart recovery.

Traffic Boost

Drive qualified visitors to your website through link click campaigns, landing page optimization, and SEO-aligned paid strategies.

Engagement Enhancement

Build an active, engaged community through post engagement, interactive content, user-generated content, and community building.

Brand Awareness

Get your brand in front of the right people through reach campaigns, video views optimization, and strategic influencer collaborations.

Targeted Reach

Precision targeting through custom audiences, lookalike modeling, demographic segmentation, and geo-targeted campaigns.

Industries I've Served

E-commerce & Retail

Product sales, cart recovery, seasonal campaigns

Food & Beverage

Restaurant promotions, delivery services, catering

Fashion & Lifestyle

Brand awareness, product launches, collections

Technology & SaaS

Lead generation, free trials, demo requests

Real Estate

Property listings, open houses, lead generation

Healthcare & Wellness

Appointment bookings, service awareness

Education & Training

Course enrollments, webinar signups

B2B Services

Lead generation, professional services

Travel & Hospitality

Booking campaigns, destination marketing

Financial Services

Lead generation, educational content

Proven Client Success

90+ Successful Client Campaigns

Wrapping Flair • Gift Solutions

UK Galore • International Products

Momo Jojo • Restaurant Chain

G-Series • Fashion Brand

K's Kitchen • Food Business

Tajez • Fashion Accessories

SR Security • Security Services

Master Travelers • Travel Agency

+ 70+ More • Diverse Industries

"I have worked with Sazzad for boosting my page 'Tajez'. Right from the communication to payment, he was immensely patient and took the time to hear my requirements. He did exactly how I wanted—targeting the right audience, budgeting, and campaign optimization. He delivered exceptional work at a reasonable price. I would be happy to recommend him to anyone looking for a skilled media buyer."

— Corona Rahman, Founder of Tajez

My Process

Step 1: Discovery Call (Free)

Understand your business goals, analyze current efforts, identify opportunities, and discuss budget and timeline.

Step 2: Strategy Development

Market research, competitor analysis, audience strategy, platform selection, and comprehensive campaign roadmap.

Step 3: Campaign Setup

Account configuration, pixel installation, creative development, audience creation, and analytics setup.

Step 4: Launch & Optimization

Campaign launch, daily monitoring, A/B testing, budget optimization, and continuous real-time refinement.

Step 5: Reporting & Scaling

Weekly/monthly reports, data analysis, strategy refinement, scaling successful campaigns, and continuous improvement.

Why I'm Different

8+ Years of Experience
Proven track record since 2017 delivering measurable results

ML Engineering Integration
Custom AI solutions that go beyond platform algorithms

Data-Driven Approach
Predictive modeling and statistical optimization

90+ Client Success Stories
Diverse industries with proven ROI improvements

Multi-Platform Mastery
Expert across Meta, Google, YouTube, and LinkedIn

End-to-End Service
From strategy to execution, optimization, and analysis

Pricing & Packages

Transparent, Value-Driven Pricing

Pricing is customized based on your specific needs, budget, and goals. Contact me for a personalized quote.

What Influences Pricing:

✓ Number of platforms

✓ Campaign complexity

✓ Ad spend budget

✓ Service scope (strategy vs. full management)

✓ Reporting frequency

✓ Contract duration

Typical Engagement Models:

1. Project-Based — One-time campaigns or specific initiatives

2. Monthly Retainer — Ongoing campaign management and optimization

3. Consultation — Strategy sessions and advisory services

4. Performance-Based — Results-driven pricing tied to outcomes

Free Initial Consultation — Let's discuss your needs and find the right solution

Frequently Asked Questions

Q: How much should I budget for ads?

A: Ad budgets vary based on your goals, industry, and competition. I typically recommend starting with a minimum of $500-1000/month for meaningful results, but we can work with various budgets and scale as we see success.

Q: How long before I see results?

A: Initial data and insights typically appear within 1-2 weeks. Meaningful optimization and results usually emerge within 4-6 weeks as we gather data and refine targeting. Some campaigns (like brand awareness) take longer to show full impact.

Q: Do you create ad content/creatives?

A: I provide strategic guidance on what content performs best and can coordinate with your design team. For full creative services, I can recommend trusted partners or we can discuss incorporating this into our engagement.

Q: Which platform is best for my business?

A: It depends on your target audience, business model, and goals. B2C brands often excel on Meta and Google, while B2B typically sees strong results on LinkedIn and Google. We'll determine the best fit during our discovery call.

Q: What if I've tried ads before and they didn't work?

A: Many businesses struggle with ads due to poor targeting, weak creative, or incorrect platform choice. My data-driven approach identifies what went wrong and builds a strategy for success. Let's discuss your previous experience and chart a better path forward.

Q: Can you guarantee results?

A: While I can't guarantee specific outcomes (no ethical marketer can), I can guarantee my commitment to data-driven optimization, transparent reporting, and continuous improvement. My 90+ satisfied clients and 8 years of experience speak to my track record.

Q: Do you work with small businesses?

A: Absolutely! I've worked with businesses of all sizes—from startups to established brands. Every business deserves access to professional, results-driven advertising.

Q: What makes you different from other media buyers?

A: My unique combination of 8 years of hands-on advertising experience plus Machine Learning engineering skills allows me to approach campaigns with both creative strategy and technical precision. I don't just run ads—I engineer success.

Why I'm Different

8+ Years of Experience
Proven track record since 2017 delivering measurable results

ML Engineering Integration
Custom AI solutions that go beyond platform algorithms

Data-Driven Approach
Predictive modeling and statistical optimization

90+ Client Success Stories
Diverse industries with proven ROI improvements

Multi-Platform Mastery
Expert across Meta, Google, YouTube, and LinkedIn

End-to-End Service
From strategy to execution, optimization, and analysis

Ready to Transform Your Digital Presence?

Book a free consultation to discuss your goals and discover how data-driven advertising can grow your business.

WhatsApp Consultation Email Me

Get In Touch

Let's collaborate on advancing AI research and innovation

I'm always interested in discussing research opportunities, collaboration projects, and innovative AI applications. Whether you're working on cutting-edge XAI research, multimodal learning projects, or ethical AI initiatives, I'd love to connect and explore potential collaborations.

Currently seeking opportunities for doctoral studies and research positions in AI/ML. I'm particularly interested in projects that combine theoretical research with real-world impact in healthcare, precision medicine, and social good applications.

shfarhaan21@gmail.com
+880 1685 170845
Dhaka, Bangladesh