I'm a passionate Computer Science Engineering student at IIIT Dharwad (2022β2026), specializing in Full-Stack Development and AI/ML. As a Ξ²-Microsoft Learn Student Ambassador and the Founder & President of MLSA IIIT Dharwad, I'm dedicated to building innovative solutions and empowering tech communities.
- Currently working on AI-powered applications and blockchain solutions
- Exploring Generative AI, Cloud Computing, and Advanced ML techniques
- Looking to collaborate on open source projects and innovative startups
- Ask me about Full-Stack Development, AI/ML, or Community Building
- How to reach me: Feel free to connect or message me on Linkedin
- Fun fact: I love singing and mentoring fellow developers
- Ξ²-Microsoft Learn Student Ambassador - Leading tech community initiatives
- Guinness World Record Participant - Microsoft AI Skills Fest
- Google Cloud Arcade Champion - Completed advanced cloud challenges
- GitHub Foundations Certified - Demonstrating Git and GitHub expertise
- Study Jam Troop Leader - JS_AI_Build-a-thon program
- Hackathon Finalist - Multiple competitive programming achievements
Tech Stack: Azure OpenAI, GPT-4.1, Python, TypeScript, React.js, Node.js, MongoDB
An intelligent career guidance tool that analyzes resumes, identifies skill gaps, generates interview questions, and offers personalized career roadmaps using AI.
Tech Stack: React.js, Next.js, Three.js, Tailwind CSS, Netlify
Responsive developer portfolio showcasing projects, skills, and growth. Features bento grids, smooth animations, Netlify deployment, and functional integrations like SendGrid.
Tech Stack: Python, TensorFlow, Streamlit, NLP
AI-powered tool for analyzing and optimizing resumes with machine learning algorithms.
Tech Stack: Python, CNN, OpenCV, Flask
Deep learning solution for early detection of plant diseases using computer vision.
Tech Stack: Python, scikit-learn, Pandas
Research project combining traditional Indian medicine with modern machine learning techniques.
Tech Stack: Python, Optimization Algorithms, Real-time Systems
Bid-driven optimization system for efficient electric vehicle charging scheduling.
β Star my repositories if you find them helpful!