π PhD Student & Graduate Research Assistant @ South Dakota State University
π§ AI/ML Researcher | π Explainable AI | ποΈ Computer Vision | π¬ NLP & LLMs | π οΈ ML Engineer
I'm a PhD student in Computer Science and Graduate Research Assistant at South Dakota State University (SDSU). My research interests span Explainable AI (XAI), Computer Vision, Natural Language Processing, Large Language Models, and Generative AI.
I enjoy working at the intersection of research and engineering: exploring new ideas, implementing them, and building AI systems that work beyond the notebook.
π Portfolio β Research, projects, publications, and more.
- Explainable AI (XAI)
- Computer Vision
- Natural Language Processing
- Large Language Models (LLMs)
- Generative AI
- Multimodal Learning
- Low-Resource NLP
- Machine Learning & Deep Learning
- βοΈ ConfigSync β CLI that treats configuration as code with versioning, diffing, and team-wide enforcement.
- π HomeOps β An iOS "digital glovebox" for managing home-related information.
- β‘ FOMI β Frequency-Optimized Manifold Indexing for image vector similarity search and clustering.
- π Atomic Sync β Real-time, end-to-end encrypted sync for Obsidian using Supabase.
- π PaperToCode β Converts research papers into executable implementations using Generative AI.
- πΉ Loom Clone β Cloud-native video messaging platform with Google Drive storage integration.
- π΅οΈ SynthDetect Ultra β Forensic analysis tool for distinguishing authentic images from AI-generated media.
- π§ Obsidian AI Plugin β Context-aware AI assistant with multi-file context and streaming.
- πΉ Binance AI Agent β Multi-agent system for AI-assisted cryptocurrency market analysis.
- π§π© Bengali Semantic Retrieval β Semantic retrieval for low-resource languages using Matryoshka Representation Learning.
- π Stock Forecast BD β LSTM-based stock price forecasting for Bangladeshi and global markets.
- π§© PineconeUtils β Python libraries simplifying data handling for RAG systems.
- π₯ Loom Local β Open-source Loom alternative for local screen recording.
- π οΈ OpenLLMetry β Fixed serialization issues for Python dataclasses and TypeErrors in OpenAI embedding metrics (PR #2800, #1836).
- π² Pinecone Canopy β Contributed to the Retrieval-Augmented Generation (RAG) framework.
- [ACM TALLIP] Optimizing Semantic Retrieval for Bengali: A Comparative Analysis
- [Mathematical Biosciences] Bayesian Physics-Informed Neural Networks for Parameter Inference in Wound Healing
- [IEEE ICCIT 2023] An Attention-Based Deep Learning Approach to Knee Injury Classification from MRI Images
- [IEEE ECCE 2025] Advancing Low-Resource NLP: Contextual Question Answering for Bengali Language Using Llama
- [NCIM 2025] Distinguishing Human-Written and AI-Generated Text: A Comprehensive Study Using XAI
- π Hackathon Champion at Machine Hack
- π₯ Top 7 in Data Science Student Championship (1,000+ participants)
- π₯ 3rd Place β Rental Bikes Volume Prediction Hackathon
- π Analytics Olympiad 2022 β Ranked 82nd out of 1,029 participants
More About Me
- π PhD student in Computer Science at South Dakota State University.
- π¬ Graduate Research Assistant at South Dakota State University.
- π§ Research interests include Explainable AI, Computer Vision, NLP, LLMs, Generative AI, and Low-Resource NLP.
- π» Primarily work with Python, PyTorch, and modern AI/ML tooling.
- π Researcher at Young Learners' Research Lab (YLRL).
- β‘ Interested in turning research ideas into practical, open-source implementations.



