I'm a 3rd-year B.Tech Computer Science & Engineering student specializing in Artificial Intelligence and Machine Learning.
I'm interested in building practical software and AI-based solutions while continuously improving my skills in Data Structures & Algorithms, Machine Learning, Backend Development, and Open Source.
Currently, I'm focused on strengthening my fundamentals, building projects, contributing to open source, and preparing for opportunities in the software and AI/ML space.
- 🎓 3rd Year B.Tech CSE (AI/ML) student
- 🤖 Exploring Artificial Intelligence & Machine Learning
- 💻 Practicing Data Structures & Algorithms
- 🌱 Currently learning and building practical projects
- 🔧 Interested in Backend Development & AI-powered applications
- 🌐 Exploring Open Source Contribution
- 📚 Always working on improving my problem-solving and development skills
SwachhLens is an AI-powered waste analysis system designed to identify and analyze waste-related scenes from images.
The project combines computer vision models to detect waste, analyze the surrounding scene, and identify different types of waste.
Key areas:
- Computer Vision
- Object Detection
- Image Classification
- AI-powered image analysis
- FastAPI backend
- YOLO-based waste detection
🔗 Repository: SwachhLens
I am actively exploring and contributing to open-source projects to gain experience working with real-world codebases.
ClaidAI / Corsair
Worked with the TypeScript-based ClaidAI integration within the Corsair open-source ecosystem.
Areas explored:
- TypeScript
- API integrations
- Repository structure
- Package management with
pnpm - Debugging and resolving TypeScript issues
- Working with image-processing operations
🔗 Repository: ClaidAI on Corsair
Some of the certifications, simulations, and learning programs I've completed include:
- Claude 101
- Google Gemini
- Google Cloud Generative AI
- IBM Python for Data Science
- Forage GenAI Powered Data Analytics Job Simulation
- Unstop HackBlox
- NPTEL Programming for Problem Solving
- HTML & CSS
- Various AI/ML and developer-focused learning programs
I'm continuously expanding my skills through certifications, hands-on projects, and practical learning.
I regularly practice Data Structures & Algorithms and problem solving through competitive programming platforms.
- 🟧 LeetCode
- 🟦 Codeforces
- 🟨 CodeChef
- 💡 DSA practice primarily in C++
- 🧠 Focus areas include arrays, strings, hashing, recursion, trees, graphs, dynamic programming, and problem-solving techniques
- Strengthening DSA & problem-solving
- Building practical AI/ML projects
- Improving Python, C++, Java & SQL
- Exploring Backend Development
- Contributing to Open Source
- Preparing for Software & AI/ML opportunities
Learn → Build → Solve → Contribute → Repeat
I'm currently focused on turning what I learn into practical projects and real-world experience, one step at a time.
⭐ If you find something interesting in my repositories, feel free to explore!