Building production-ready AI applications using Computer Vision, Natural Language Processing, Retrieval-Augmented Generation (RAG), and scalable backend technologies.

I'm a Computer Science Engineering undergraduate (Class of 2027) passionate about building practical AI-powered applications that solve real-world problems .

My interests include:

• 🤖 Artificial Intelligence & Machine Learning
• 👁️ Computer Vision
• 🧠 Natural Language Processing (NLP)
• 📚 Retrieval-Augmented Generation (RAG)
• ⚙️ Backend Development
• 🌍 Open Source

• 🎓 B.Tech Computer Science Engineering (Class of 2027)
• 💻 Solved 300+ DSA Problems across LeetCode & GFG
• 🌍 Global Rank #235 among 43,500+ GSSoC 2026 participants
• 🦈 GitHub Pull Shark Achievement
• ⚡ GitHub Quickdraw Achievement
• ⚖️ Building ChargeSheet AI Assistant
• 📄 Building DocNexa — AI-powered PDF workspace for intelligent document workflows
• 🚀 Open to AI/ML & Software Engineering opportunities

• 🚀 Currently building DocNexa — a modern AI-powered PDF workspace with an interactive document editor, advanced PDF tools, and a scalable Next.js architecture designed for intelligent document workflows.

• 📄 Building DocNexa — an AI-powered PDF workspace
• 🤖 Exploring Agentic AI and LLM applications
• 🧠 Improving RAG pipelines and document intelligence
• ⚙️ Building scalable backend APIs with FastAPI
• 💻 Strengthening DSA and system design fundamentals

• 🤖 Building practical AI/ML applications
• 📄 AI-powered document intelligence & RAG
• ⚙️ Backend API development with FastAPI
• 🧠 Problem solving & Data Structures
• 🌍 Open-source collaborations

• 🤖 AI-powered applications and intelligent workflows
• 📄 Document intelligence and RAG systems
• 👁️ Computer Vision solutions
• ⚙️ Scalable backend APIs
• 🌍 Open-source tools and developer-focused projects

• 🚀 Turning AI prototypes into production-ready applications
• 📄 Expanding DocNexa with smarter document workflows
• 🤖 Exploring agentic AI and LLM-powered systems
• 🌍 Continuing open-source contributions

I enjoy contributing to open-source projects through:

• ✨ Feature development
• 🐞 Bug fixing and issue resolution
• 🎨 UI/UX improvements
• 📚 Documentation
• 🤝 Collaborative Git & GitHub workflows

AI-powered legal document analysis platform using OCR, NLP and Retrieval-Augmented Generation.

Tech Stack

Python • FastAPI • PostgreSQL • LangChain • spaCy • Transformers

Highlights

• OCR-based document extraction
• Named Entity Recognition
• RAG-powered semantic search
• Multilingual legal document analysis
• FastAPI backend
• Structured legal information extraction and processing

Computer Vision based public monitoring system using YOLOv8.

Tech Stack

Python • YOLOv8 • OpenCV • MediaPipe • FastAPI

Highlights

• Human Activity Detection
• Safe & Unsafe Activity Recognition
• Video Processing Pipeline
• AI Inference
• REST APIs

Analytics dashboard for monitoring AI Agent performance.

Tech Stack

Python • Pandas • Chart.js • Jupyter Notebook

Highlights

• AI Performance Analytics
• Interactive Dashboards
• Data Visualization
• Trend Monitoring

Python • Java • C++ • JavaScript • SQL

Machine Learning • Computer Vision • NLP • YOLOv8 • OpenCV • MediaPipe

Transformers • LangChain • RAG • Hugging Face

FastAPI • Flask • REST APIs

PostgreSQL • MySQL

Git • GitHub • Docker • Linux • AWS • n8n

Nov 2025 – Feb 2026

Worked on VisionSafe AI, a Computer Vision-based public monitoring system.

• Built human activity detection pipelines using YOLOv8, OpenCV, and MediaPipe
• Developed scalable REST APIs using FastAPI
• Integrated AI inference pipelines with backend services
• Automated video processing and activity recognition workflows

Tech Stack: Python YOLOv8 OpenCV MediaPipe FastAPI PostgreSQL

Worked on workflow automation using n8n.

• Designed workflow automation pipelines
• Integrated third-party REST APIs
• Implemented webhook-based automation
• Automated repetitive business workflows

Tech Stack: n8n REST APIs

Contributed to multiple open-source repositories through feature development, documentation improvements, bug fixes, and UI enhancements.

• 🌍 Global Rank #235 among 43,500+ participants
• 🚀 20+ Merged Pull Requests
• 🦈 GitHub Pull Shark Achievement
• ⚡ GitHub Quickdraw Achievement

• 🥇 Global Rank Under 300 among 43,500+ GSSoC 2026 participants
• 💻 Solved 300+ DSA Problems across LeetCode & GFG
• 🎓 Successfully completed Infosys Springboard AI Internship
• 🚀 Qualified for NEC Basic Track organized by E-Cell IIT Bombay
• 📢 Documentation & Social Media Lead at E-Cell, Dumka Engineering College

Consistently contributing to open source, AI projects, and backend development while continuously learning and building.

• 🤖 AI Agents
• 🧠 LangGraph & LangChain
• 📚 Retrieval-Augmented Generation (RAG)
• ☁️ AWS & Docker
• 🏗️ Backend System Design
• 📊 Advanced Data Structures & Algorithms

• 🤖 Generative AI & LLM Applications
• 📄 Document Intelligence & RAG
• 👁️ Computer Vision
• ⚙️ Backend & API Development
• 🏗️ System Design
• 🌍 Open Source

I'm always interested in collaborating on projects involving:

• 🤖 Artificial Intelligence & Machine Learning
• 👁️ Computer Vision
• 🧠 Natural Language Processing
• 📚 Generative AI & RAG
• ⚙️ Backend Development
• 🌍 Open Source

Feel free to reach out if you'd like to collaborate, discuss ideas, or build impactful software together.

⭐ Thanks for visiting!

I'm passionate about building AI-powered products, contributing to open source, and solving real-world problems through technology.

Let's build something impactful together 🚀