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

Contact