Sazzad Hussain Farhaan
AI Researcher & Machine Learning Engineer
AI Researcher & Machine Learning Engineer
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.
Exploring cutting-edge AI methodologies for transparent and ethical machine learning
Developing interpretable models that offer transparent decision-making in high-stakes environments like healthcare and education.
Integrating heterogeneous data sources (text, imaging, genomics) to improve prediction accuracy and contextual understanding in AI systems.
Designing algorithms that enable selective forgetting and compliance-aware model updates, supporting privacy and fairness.
Applying AI frameworks to solve complex problems in precision medicine, digital humanities, and socio-technical systems with emphasis on accountability.
Contributing to the advancement of AI research through peer-reviewed publications
An integrated approach for quality Learning Management System using Natural Language Processing techniques for student evaluation and engagement metrics calculation.
Deep Learning approaches for accurate freshwater fish recognition using computer vision techniques and convolutional neural networks.
Predicting radiotherapy outcomes in oncology using multi-modal AI approaches for precision medicine applications.
Developing quantitative complexity metrics for Explainable AI systems to improve model interpretability and transparency.
Using coronary angiogram analysis for stenosis detection and early-stage CAD prediction with computer vision techniques.
Innovative AI solutions addressing real-world challenges
Full-stack conversational AI application with advanced text summarization using TF-IDF, TextRank, and frequency-based approaches with intelligent fallback mechanisms.
Built a comprehensive dataset and tool to detect and analyze gender-biased terms in job descriptions, generating gender-neutral alternatives using advanced NLP techniques.
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.
Building expertise across AI research, development, and education
CS Meta Limited, Dhaka, Bangladesh
Genmorphics AI Solutions, Dhaka, Bangladesh
Web and More Limited, London, United Kingdom
Creative IT Institute, Dhaka, Bangladesh
Fellowship.AI, California, United States
Omdena, Toronto, Canada
Comprehensive expertise across AI/ML technologies and development tools
Python, SQL, JavaScript
Supervised/Unsupervised Learning, CNNs, RNNs, LSTM, Transformer Architectures, Transfer Learning, Attention Mechanisms
Edge Detection, Image Denoising, Object Detection, Image Segmentation, OCR, Morphological Operations
TensorFlow, PyTorch, OpenCV, Scikit-learn, Hugging Face Transformers, LangChain, spaCy, FastAPI, Streamlit
Docker, AWS SageMaker, Git/GitHub, Jupyter Notebooks, Power BI, Beautiful Soup, Selenium, LaTeX
NumPy, SciPy, Pandas, Seaborn, SPSS, Data Annotation, ETL Processes, Statistical Analysis
Celebrating achievements in leadership, academics, and technical excellence
The Duke of Edinburgh's International Award 2025 - Awarded by the British High Commissioner
Merit-based scholarship worth $3,500 from University of Liberal Arts Bangladesh (Summer 2016)
Top 40, Regional Round 2018 - Sustainable Multi-Source Energy Harvesting System
1st Place in Idea Contest 2019 - AI Integrated Wellness Tracker Application
IJCCI 2019 - Led team of 50+ volunteers for International Joint Conference on Computational Intelligence
ULAB Student Affairs Office 2019 - Recognized for mentoring first-year students
Building communities and driving organizational excellence
IEEE Computer Society
Founded and led the Student Branch Chapter, organizing 25+ collaborative and internal events while establishing foundational structures for long-term sustainability.
IEEE Student Branch
Prepared Branch Annual Plan and coordinated 20+ flagship international events. Increased membership drive by 250%, significantly expanding the organization's reach and impact.
IEEE CS Bangladesh Chapter
Facilitated collaboration among 23 IEEE-affiliated universities in Bangladesh, fostering research groups for professional and student members to bridge the industry-academia gap.
Academic foundation in computer science and engineering
University of Liberal Arts Bangladesh (ULAB)
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
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.