I'm a 3rd-year B.Tech CS student at KIIT University with a deep obsession for intelligent systems — specifically the kind that learn, see, and reason. My work sits at the intersection of Computer Vision, Deep Learning, and ML Systems Engineering.
When I'm not debugging transformer architectures at midnight, I'm thinking about my long-term mission: building a Global Ontology Intelligence Engine — an AI system that understands the world not just statistically, but structurally.
- 🔭 Currently working at Happiest Minds Technologies as an ML Intern
- 🛰️ Previously: Terraivise (ViT + MAE on NASA satellite imagery) | Pinnacle Labs (real-time lane detection)
- 🧠 Deep-diving into: Vision Transformers, PyTorch Lightning, Self-Supervised Learning
- 🏗️ Building: DoccyAI — a symptom-to-disease prediction platform (ML Engineer on the team)
- 📜 Certified: IBM Machine Learning Professional Certificate
- ⚡ Fun fact: The first ML model I deployed had a scikit-learn version mismatch at 2am. I fixed it. I learned more in that hour than a week of tutorials.
| Project | What It Does | Stack |
|---|---|---|
| 🛰️ Semantic Segmentation on Satellite Imagery | Land-cover classification using ViT + MAE (Prithvi architecture) | PyTorch Lightning, GeoPandas, HuggingFace |
| 🚗 Real-Time Lane Detection | Live road lane detection pipeline using classical CV | OpenCV, Canny Edge, Hough Transform |
| 🩺 DoccyAI | Symptom prediction ML API, deployed on HuggingFace Spaces | scikit-learn, FastAPI, Docker |
| 🧩 CSP Sudoku Solver | Backtracking + Forward Checking + MRV heuristic in <70 lines | Python |
| 📖 StoryNest | PWA storytelling app with offline support | Node.js, Express, Service Workers |
Languages
ML / DL
Engineering & MLOps
asmet = {
"role" : "Data Science Intern @ Happiest Minds",
"learning" : ["Vision Transformers", "GenAI", "LLM Systems", "AgenticAI"],
"building" : ["DoccyAI", "Competitor Intelligence Agent (LangGraph)"],
"obsession" : "Systems that don't just predict — they understand",
"end_goal" : "Global Ontology Intelligence Engine 🌍"
}I'm open to collaborating on deep learning research, CV projects, and ambitious ML systems. If you're building something that matters, let's talk.