Sambit Biswas
AI/ML Engineer & Full-Stack Developer
Building intelligent systems and immersive digital experiences.
About
I'm a Computer Science & Engineering student specializing in Artificial Intelligence and Machine Learning. I enjoy building intelligent, practical products that combine AI, software engineering, and creative user experiences.
My work sits where AI meets everyday software: machine learning and generative AI on one side, full-stack products, developer tools and interactive web experiences on the other, with a growing interest in cybersecurity.
Interests
- Artificial Intelligence
- Machine Learning
- Generative AI
- Cybersecurity
- Full-Stack Development
- Developer Tools
- Interactive Web Experiences
Projects
Local AI · Developer tool
SAMY — Offline AI Assistant
A privacy-focused terminal AI assistant designed to run locally without relying on cloud inference. SAMY uses local language models and llama.cpp to provide an offline conversational experience while keeping user data on-device.
Built with
- Python
- llama.cpp
- GGUF
- Local LLM inference
- CLI
- AI/ML
AI · Recruitment platform
HireLabs — AI Interview & Resume Evaluation System
An AI-powered recruitment platform that analyzes resumes, extracts skills, evaluates candidate profiles, and supports intelligent interview preparation. It combines NLP, semantic matching, embeddings, and machine learning to help candidates understand their strengths and improve their job readiness.
Built with
- Next.js
- React
- Python
- FastAPI
- Flask
- MongoDB
- Supabase
- Gemini
- Embeddings
- Vector Search
- TF-IDF
- Machine Learning
AI · Cybersecurity
AI-Powered Email Threat Detection & Forensic Intelligence Platform
A cybersecurity platform that analyzes emails to detect phishing and other malicious indicators while extracting useful forensic information. The system combines AI, NLP, threat intelligence, and email analysis to help investigate suspicious messages and understand potential attack patterns.
Built with
- AI/ML
- Python
- NLP
- Threat Intelligence
- Email Forensics
- Supabase
- Next.js
- React
- FastAPI
- Cybersecurity
Web platform · Education
Notes Sharing Platform
A web platform designed for students to upload, organize, and share academic notes and study resources. The project focuses on making educational content easier to access and discover through a simple web interface.
Built with
- HTML
- CSS
- JavaScript
- GitHub Pages
AI · Recommendation
AI Mood-Based Music Recommender
Experimental
An experimental recommendation system that uses AI to understand a user's emotional state and suggest music accordingly.
Built with
- AI/ML
- Recommendation Systems
- Emotion Detection
Skills
AI / ML
- Machine Learning
- Deep Learning
- NLP
- Generative AI
- LLMs
- RAG
- Embeddings
- Vector Search
Programming
- Python
- C++
- Java
- JavaScript
- TypeScript
- SQL
Development
- React
- Next.js
- Node.js
- FastAPI
- Flask
- Tailwind CSS
- REST APIs
Data / Backend
- MongoDB
- PostgreSQL
- Supabase
- pgvector
Tools / Platforms
- Git
- GitHub
- Vercel
- Docker
- Gemini
- llama.cpp
3D / Interactive
- Three.js
- React Three Fiber
- GSAP
- Framer Motion
Experience
Smart India Hackathon 2026 — TraceX
Team Member / Developer
Worked on an AI-powered email threat detection and forensic intelligence platform combining cybersecurity, AI/ML, threat analysis and full-stack development.
Independent Development
Building and experimenting with AI/ML applications, full-stack products, developer tools, and interactive web experiences.
Education
B.Tech in Computer Science & Engineering
Specialization: Artificial Intelligence & Machine Learning · Adamas University
Academic focus
- AI / ML
- Data Structures & Algorithms
- DBMS
- Software Engineering
- Computer Networks
- Formal Languages & Automata