About
Research-driven AI/ML engineer focusing on deep learning and graph methods for biological data, medical imaging, and multilingual NLP. Experienced in PyTorch, TensorFlow, graph neural networks, and building end-to-end research prototypes.
Current: Research Assistant — BRAC University (2025–present)
Technical Skills
Experience
Research Assistant — BRAC University
Conducting AI/ML research on peptide classification, gene expression, and medical imaging using GNNs and deep learning frameworks.
Research Assistant — IUB (CCDS)
Developing computational models for biomedical and NLP data; conducting experiments and literature review for journal publication.
Projects
A production-ready, AI-powered code review platform designed to elevate software quality using intelligent analysis. Built with a modern full-stack architecture including frontend, backend APIs, MongoDB database, microservices, and AI agent integration (Gemini 2.5 Flash) for real-time code insights, automated feedback, and performance optimization suggestions.
Lightweight model for video frame analysis (0.7 GFLOPs, 5 MB). Includes preprocessing, Grad-CAM visualization, and edge-device inference pipeline.
Transaction-graph GNN for fraud detection, real-time anomaly alerts, and explainability visualization in Neo4j.
Local pipeline that ingests PDFs/URLs, creates embeddings with SentenceTransformers, stores them in Chroma, and enables RAG queries via FastAPI.
Bangla instruction-to-Python generator/checker/debugger pipeline using local LLMs and prompt optimization.
Multilingual OCR system with post-processing for drug-name verification and web/mobile upload interface.
Honors & Achievements
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5th Place — BLP Workshop 2025: Code Generation in Bengali (IJCNLP–AACL)
🔗 View Leaderboard Rank