AI / ML → RAG · n8n · Agentic AI · NLP · Computer Vision · LLMs · LangGraph
Languages → Python · JavaScript · TypeScript · C
Databases → MongoDB · PostgreSQL · MySQL · Prisma
Backend → FastAPI · Express.JS · Node.JS
Frontend → React · NextJS · TailwindCSS
Tools → Git · Docker · AWS
Status → Open to roles in AI/ML engineering & full-stack development
| Project | Domain | Description | |
|---|---|---|---|
| ◆ | Oxeye | AI · RAG |
Code assistant using RAG — parses codebases into semantic chunks, answers questions with file references |
| ◆ | Uttor Dao | NLP + Data Engineering |
Auto-generates Bangla MCQs from raw text — streamlines educational content creation |
| ◆ | Mock Bhai | MERN · WEBRTC |
Technical interview platform with live video, collaborative code editor, and real-time chat |
| ◆ | PC Parts Classifier | Computer Vision |
Vision Transformer pipeline classifying PC hardware across 11 categories with PyTorch + FastAI |
| ◆ | Emotional Arc Mapper | NLP · Sentiment Analysis |
Visualizes emotional transitions in text through sentiment analysis |
| ◆ | Thik Achi | MERN |
Full-featured wellness platform — meal planning, macro tracking, exercise logging, sleep analysis |
| ◆ | Rate Punk | NESTJS |
Cyberpunk-themed video game rating platform with crowdsourced metrics and RAWG API integration |
| ◆ | Startup Stats | Data Analytics + Web Scraping |
End-to-end pipeline extracting and analyzing data from the Y Combinator startup directory |
Languages
Frontend
Backend
AI / ML
Databases
CS graduate who builds systems where AI is the core, not an afterthought. Whether that's a RAG-powered code assistant that understands codebase structure, an NLP pipeline generating educational content in Bangla, or a Vision Transformer classifying hardware from images — the goal is always the same: research to working product, end to end.
On the full-stack side: MERN and Next.js, clean architecture, real-time systems.
