AI & Data Science undergrad · .NET Developer Intern · Published ML researcher
- B.Tech AI & Data Science @ Karpagam College of Engineering (CGPA 8.4)
- Currently interning as a .NET Developer — building internal web apps with C# and ASP.NET MVC
- Former AI Intern @ Learnflu — built a predictive maintenance system with 98% accuracy on 10K sensor records
- Co-authored a deep learning paper on solar power forecasting published at ICEARS 2026
- Currently deepening my skills in full-stack development, applied ML, and DSA (beginner)
- Exploring AI — integrating models and APIs into real-world projects
- Interested in software development — from clean backend logic to polished frontends
- Actively participating in hackathons — always looking for the next challenge to build under pressure
- Ask me about React, Python, machine learning, or building end-to-end projects
- Fun fact: I scored 99.6% in my Higher Secondary board exams
| Project | Stack | Highlight |
|---|---|---|
| Industrial Predictive Maintenance | React · FastAPI · Random Forest | 98% accuracy on AI4I 2020 dataset (10K records) |
| AI Crop Recommendation System | Python · 5 ML models · OpenWeatherMap API | 99%+ accuracy with auto best-model selection |
| EnergyShield | Next.js · React · Tailwind · JavaScript | Decision-support platform for India's oil & gas supply-chain resilience (OOSC-4 Hackathon) |
| Smart Home Automation | React · ASP.NET Core 9 · SignalR · Ollama (Gemma 3) | AI-powered home management with real-time device control and multilingual support |
Languages
Frameworks & Tools
ML / Data
Software Development
