Sazzad Hussain Farhaan

Sazzad Hussain Farhaan

AI Researcher & Machine Learning Engineer

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
5 Research Papers
15+ Major Projects

Research Interests

Exploring cutting-edge AI methodologies for transparent and ethical machine learning

Explainable AI (XAI)

Developing interpretable models that offer transparent decision-making in high-stakes environments like healthcare and education.

Multimodal & Cross-Modal Learning

Integrating heterogeneous data sources (text, imaging, genomics) to improve prediction accuracy and contextual understanding in AI systems.

Machine Unlearning & Ethical AI

Designing algorithms that enable selective forgetting and compliance-aware model updates, supporting privacy and fairness.

Interdisciplinary Applications

Applying AI frameworks to solve complex problems in precision medicine, digital humanities, and socio-technical systems with emphasis on accountability.

Research Publications

Contributing to the advancement of AI research through peer-reviewed publications

Enhancing Student Engagement and Performance Evaluation

2024 Springer LNNS Published

An integrated approach for quality Learning Management System using Natural Language Processing techniques for student evaluation and engagement metrics calculation.

NLP Machine Learning Educational Technology LMS

Advancing Fish Species Identification in Bangladesh

2024 Springer LNNS Published

Deep Learning approaches for accurate freshwater fish recognition using computer vision techniques and convolutional neural networks.

Deep Learning Computer Vision CNN Species Recognition

Multi-Modal AI Models for Predicting Radiotherapy Outcomes

Under Review Precision Medicine

Predicting radiotherapy outcomes in oncology using multi-modal AI approaches for precision medicine applications.

Multimodal AI Healthcare Deep Learning Oncology

Visual Parsimony: A Quantitative Complexity Metric

Under Review Explainable AI

Developing quantitative complexity metrics for Explainable AI systems to improve model interpretability and transparency.

XAI Interpretability Metrics Complexity Analysis

Early-Stage Coronary Artery Disease Prediction

Under Review Medical AI

Using coronary angiogram analysis for stenosis detection and early-stage CAD prediction with computer vision techniques.

Medical Imaging CNN Angiogram Analysis CAD Detection

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 research, development, and education

Associate BI Analyst

CS Meta Limited, Dhaka, Bangladesh

08/2024 – 06/2025
  • Delivered financial insights with 3x faster reporting cycles by building Python-based ETL scripts and Power BI dashboards
  • Enhanced stakeholder decision-making through adoption of BI tools across 3 departments via predictive analysis and market trend visualizations
  • Streamlined report generation with 50% reduction in manual effort by designing reusable CTE Templates and SQL queries

Project Coordinator (AI Data Training)

Genmorphics AI Solutions, Dhaka, Bangladesh

05/2024 – 05/2025
  • Boosted model performance by 23% through design and validation of over 1,200 engineering-focused prompts spanning mechanical, electrical, and software domains for LLM training
  • Enhanced training efficiency by 40% and reduced annotation correction cycles by 25% by implementing scheduling system and performance checkpoints
  • Improved AI output quality and safety by reviewing 350+ instances of bias and inaccuracies, strengthening communication pipelines via weekly stand-ups

Associate AI Developer

Web and More Limited, London, United Kingdom

04/2024 – 10/2024
  • Achieved 30% faster image processing using advanced denoising and OCR with OpenCV and Tesseract
  • Reduced OCR error rates via custom filters and Python preprocessing techniques
  • Enabled backend deployment of ML modules by containerizing solutions with Docker

Machine Learning Engineer

Creative IT Institute, Dhaka, Bangladesh

11/2021 – 02/2024
  • Trained and mentored over 100 students, achieving 90% completion rate via hands-on modules in computer vision, NLP, and Python
  • Improved student outcomes, evidenced by 30+ capstone projects showcased in local hackathons
  • Standardized content across 4 cohorts using modular approach and public datasets

Data Scientist (Fellowship)

Fellowship.AI, California, United States

10/2023 – 12/2023
  • Reduced ETL runtimes by 40% for NLP pipelines with large transformer models
  • Enhanced ML interpretability via modular code design and stakeholder documentation
  • Enabled API-based model access using RESTful endpoints and Hugging Face integration

Machine Learning Engineer (Internship)

Omdena, Toronto, Canada

09/2023 – 03/2024
  • Cut model training time by 2 weeks via structured data curation from 50,000+ web pages using web scraping
  • Deployed 3 ML models with FastAPI and demonstrated with Streamlit
  • Improved model accuracy by +5% using augmentation and fine-tuning with PyTorch and TensorFlow

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, PyTorch, OpenCV, Scikit-learn, Hugging Face Transformers, LangChain, spaCy, FastAPI, Streamlit

Tools & Platforms

Docker, AWS SageMaker, Git/GitHub, Jupyter Notebooks, Power BI, Beautiful Soup, Selenium, LaTeX

Data Science & Analytics

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

Awards & Recognition

Celebrating achievements in leadership, academics, and technical excellence

The Gold Standard Awardee

The Duke of Edinburgh's International Award 2025 - Awarded by the British High Commissioner

Vice Chancellor's Honors List

Merit-based scholarship worth $3,500 from University of Liberal Arts Bangladesh (Summer 2016)

NASA Space Apps Challenge

Top 40, Regional Round 2018 - Sustainable Multi-Source Energy Harvesting System

ULAB Techfest Champion

1st Place in Idea Contest 2019 - AI Integrated Wellness Tracker Application

Lead Volunteer Award

IJCCI 2019 - Led team of 50+ volunteers for International Joint Conference on Computational Intelligence

Peer Mentor Award

ULAB Student Affairs Office 2019 - Recognized for mentoring first-year students

Leadership Experience

Building communities and driving organizational excellence

Founding Chairperson, IEEE CS ULAB Student Branch Chapter

IEEE Computer Society

04/2019 – 08/2020

Founded and led the Student Branch Chapter, organizing 25+ collaborative and internal events while establishing foundational structures for long-term sustainability.

Chairperson, IEEE ULAB Student Branch

IEEE Student Branch

03/2018 – 04/2019

Prepared Branch Annual Plan and coordinated 20+ flagship international events. Increased membership drive by 250%, significantly expanding the organization's reach and impact.

Lead Publication, Team Spark

IEEE CS Bangladesh Chapter

07/2019 – 08/2020

Facilitated collaboration among 23 IEEE-affiliated universities in Bangladesh, fostering research groups for professional and student members to bridge the industry-academia gap.

Education

Academic foundation in computer science and engineering

Bachelor of Science in Computer Science and Engineering

University of Liberal Arts Bangladesh (ULAB)

2016 – 2021

CGPA: 3.33 on a scale of 4.00

Thesis: Natural Language Processing based Quality LMS for Students Evaluation and Engagement Metrics Calculation

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

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