Building intelligent systems that bridge the gap between complex models and real-world application.
I am a Computer Science undergraduate specializing in Cloud Computing and Automation at VIT Bhopal. My passion lies in Generative AI, Computer Vision, and MLOps.
Unlike traditional data science students, I focus on the entire lifecycle: from training models to deploying them as scalable, containerized applications using Docker and AWS.
- 🔭 I’m currently working on Generative AI integrations for Agri-Tech.
- 🌱 I’m currently learning Advanced MLOps pipelines and Cloud-Native Architectures.
- 👯 I’m looking to collaborate on Open Source AI projects.
- 💬 Ask me about FastAPI, CNNs, and Deployment strategies.
| Project | Description | Tech Stack |
|---|---|---|
| Leaf Compass | A full-stack Agri-Tech platform. Uses CNNs for disease diagnosis and integrates a DeepSeek-V3.2 GenAI chatbot for real-time advice. | React FastAPI Docker GenAI |
| Fraud Detection | AI-based ID verification system. Achieved 85%+ accuracy detecting fraudulent patterns using custom CNN architectures and OCR. | OpenCV TensorFlow Pytesseract |
| Flood Prediction | Real-time disaster risk assessment tool leveraging Random Forest algorithms and live OpenWeather API data (90% accuracy). | Python Scikit-learn Streamlit |
- Google & Smartbridge: Machine Learning
- Microsoft: Azure Data Fundamentals
- IBM: Cloud Computing Fundamentals
