Building intelligent systems using Computer Vision, NLP, Generative AI and scalable backend technologies.
- 🎓 Pursuing B.Tech in Computer Science and Engineering
- 🤖 Interested in AI/ML, Generative AI, Computer Vision, and NLP, Automation pipelines.
- ⚖️ Currently building ChargeSheet AI Assistant, an AI-assisted legal document RAG Analysis platform
- 🌱 Exploring LLMs, RAG pipelines, LangChain, and production-ready AI systems
- 💻 Solved 400+ DSA problems on LeetCode & GFG
- 🌍 Open-source contributor at GSSoC 2026
- 🏆 Secured Global Rank #235 among 43,500+ GSSoC participants
- 🔧 Interested in AI/ML and Software Engineering internship and full time opportunities ======= I'm a Computer Science Engineering undergrad passionate about building practical AI applications that solve real-world problems.
My interests span across Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Retrieval-Augmented Generation (RAG), Backend Engineering, and Open Source.
I enjoy taking ideas from research to deployment by combining intelligent models with scalable backend systems.
- 🎓 B.Tech Computer Science Engineering (Class of 2027)
- 🤖 AI/ML | Computer Vision | NLP | Backend Development
- ⚖️ Building ChargeSheet AI Assistant — AI-assisted Legal Document Analysis Platform
- 🌱 Exploring LLMs, RAG Pipelines, LangChain & AI Agents
- 💻 Solved 400+ DSA problems
- 🌍 Been Global Rank #235 among 43,500+ GSSoC 2026 participants
- 🚀 Open to AI/ML & Software Engineering opportunities
AI-assisted legal document analysis platform capable of extracting structured information from police chargesheets using OCR, NLP and Retrieval-Augmented Generation.
Python • FastAPI • OCR • NLP • Transformers • LangChain • PostgreSQL
- 📄 OCR-based legal document extraction
- 🧠 Named Entity Recognition
- 🌐 Multilingual NLP
- 📚 Retrieval-Augmented Generation
- ⚡ FastAPI backend
- 🔍 Intelligent legal search
- 📊 Structured legal information extraction
Computer Vision based public monitoring system capable of identifying human activities from uploaded videos.
YOLOv8 • OpenCV • MediaPipe • FastAPI • PostgreSQL
- Human Activity Recognition
- Video Processing Pipeline
- REST APIs
- Safe/Unsafe Activity Detection
- AI-powered Video Analysis
Analytics dashboard for monitoring AI agent performance with interactive visualizations.
Python • Pandas • Jupyter Notebook • Chart.js
Worked on designing and implementing automated workflows using n8n.
- Built workflow automations using n8n
- Integrated third-party REST APIs
- Implemented webhook-based automation
- Created automated data synchronization workflows
Contributed to multiple open-source projects through feature development, bug fixes, issue resolution, and collaborative Git-based workflows. Ranked under 300 in 43k+ participants.
- Agent Quality Analytics
- Performance Tracking
- Interactive Dashboards
- Data Visualization
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- 🥇 Global Rank #235 among 43,500+ participants in GSSoC 2026
- 💻 Solved 300+ DSA problems on LeetCode
- 📈 Achieved a LeetCode Contest Rating of 1510
- 🎓 Completed the Infosys Springboard AI Internship
- 🚀 Qualified for the NEC Basic Track organized by E-Cell IIT Bombay =======
Worked on VisionSafe AI, an AI-powered public monitoring system using Computer Vision.
- Built human activity detection pipelines using YOLOv8, OpenCV, and MediaPipe
- Developed scalable backend APIs with FastAPI
- Integrated AI inference pipelines with REST services
- Automated video processing workflows
- Evaluated and optimized computer vision models
Worked on workflow automation using n8n and REST APIs.
- Built workflow automation pipelines
- Integrated third-party APIs
- Created webhook-based automation
- Automated repetitive business processes
Contributed to multiple open-source repositories by developing new features, fixing bugs, improving UI/UX, and collaborating through Git & GitHub.
- 🚀 Global Rank #235
- 🌟 20+ merged Pull Requests
- 🐟 GitHub Pull Shark Achievement
- ⚡ GitHub Quickdraw Achievement
- 🥇 Global Rank #235 among 43,500+ GSSoC 2026 participants
- 💻 Solved 400+ DSA problems across LeetCode & GFG
- 📈 LeetCode Contest Rating 1510
- 🎓 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
- 🏅 GitHub Pull Shark Achievement
- ⚡ GitHub Quickdraw Achievement
- 🤖 Advanced Retrieval-Augmented Generation (RAG)
- 🧠 Large Language Models (LLMs)
- ⚡ AI Agents & Agentic Workflows
- ☁️ Cloud Deployment (AWS & Docker)
- 🏗️ Backend System Design
- 📊 Data Structures & Algorithms
- 🔥 Scalable AI Application Development
I enjoy contributing to open-source projects by solving real-world issues, improving developer experience, and building features that make products better.
My contributions include:
- ✨ Feature Development
- 🐞 Bug Fixes
- 🎨 UI/UX Improvements
- ⚡ Performance Optimization
- 📚 Documentation
- 🔧 Code Refactoring
"I believe the best way to learn AI isn't by watching tutorials—it's by building projects that solve real problems."
If you like my projects or find them helpful, consider giving them a ⭐ on GitHub.
It motivates me to continue building open-source AI applications and sharing my learning journey.
- 🤖 AI/ML Developer
- 💻 Backend Engineer
- 🌍 Open Source Contributor
- 🧠 Building AI-powered Applications
- ⚖️ Legal AI & Computer Vision Enthusiast
- 🚀 Always Learning & Building
- ✅ Contribute to impactful Open Source projects
- ✅ Build production-ready AI applications
- ✅ Strengthen Backend & System Design skills
- ✅ Publish technical blogs
- ✅ Secure an AI/ML or Software Engineering Internship
- ✅ Keep solving DSA consistently
"The best way to predict the future is to build it."
I'm always open to collaborating on AI, Machine Learning, Backend Development, and Open Source projects.
⭐ If you like my work, consider following me and checking out my repositories.