I’m currently pursuing my Master’s in Computer Science, and I love building intelligent systems, experimenting with machine learning models, and creating software that actually solves problems.
I’ve worked on AI agents, full-stack applications, mobile apps, data visualizations, and several collaborative team projects. I enjoy learning, exploring new ideas, and bringing them to life through code.
- Search Algorithms: UCS, BFS, A*, Expectimax
- LLM-based assistants, RAG-style design
- Emotion Detection (DeepFace, FER)
- Hugging Face model deployment
Full-stack web application using React + FastAPI + PostgreSQL, Google Maps API, LLM-based recommendations, and Dockerized deployment.
AI-powered emotion analysis using DeepFace/FER, mapped to Spotify playlists.
Improved AI agent performance with centering logic, cornering, emergency handling, and speed optimization.
Expectimax algorithm with heuristics (monotonicity, smoothness, snake pattern, empty tiles).
Running SOTA noisy-label models locally and preparing Hugging Face Space deployment.
Innovation Challenge project for wildfire & toxic-air detection using NASA MPASS sensor concept.
- Cleaned & analyzed real-world datasets
- Built interactive dashboards
- Delivered presentations & insights
- Built UI screens & API-integrated features
- Weekly GitHub-based project delivery
- Focused on user experience & responsiveness
- Marketing Mix Report
- Digital Audit
- RACE Planning
- Final presentation delivery
“I love to learn — every project teaches me something new.”