CS undergrad @ SVNIT Surat (B.Tech CSE, Expected 2027)
Building production-grade ML systems, RAG pipelines, and distributed backends.
| Area | Tools |
|---|---|
| ML & AI | Scikit-learn, TensorFlow, Keras, OpenCV, SHAP |
| LLM & GenAI | LLM API, RAG pipelines, Prompt Engineering |
| Backend & Systems | Spring Boot, Docker, REST APIs, Consistent Hashing |
| Data | Pandas, NumPy, Matplotlib, MySQL, MongoDB |
Credit Card Fraud Detection
Ensemble ML on 284K transactions → AUC-ROC 0.97, Recall 80%. SHAP explainability + Streamlit app.
Automated Attendance System
Real-time face recognition using FaceNet + YuNet ONNX. ~30ms/frame, offline, RTSP camera support.
Mini Google Drive
Distributed file storage in Java/Spring Boot + Docker. Consistent hashing, 2-node replication, auto-failover.
LLM RAG Application
Citation-grounded summarisation using Anthropic API. Red-team tested for injection & PII leakage.
Open Library — Open Source Contributor
Two-tier subject classifier over 40M+ works. 3 PRs merged into Internet Archive's codebase.
