- 🎓 B.Tech Computer Science & Engineering at PES University, Bengaluru (Class of 2027)
- 🔬 Working on a publication-focused research internship on drift-aware deepfake / Video KYC fraud detection
- ⚡ Passionate about real-time data systems and applied machine learning
- 🌐 Currently exploring: Distributed Systems, Stream Processing, Computer Vision
- 🧩 I like projects where backend engineering and ML meet
| Project | What it does | Tech |
|---|---|---|
| Real-Time Telemetry & Metric Aggregator | Streams multi-node server metrics through Kafka, computes rolling P95 latency over 30s windows with watermarking, and fires alerts on thresholds. | Kafka PySpark PostgreSQL Docker |
| Distributed Image Processing Pipeline | Tiles large images into chunks, processes them in parallel across Kafka workers, and reassembles the output. | Kafka FastAPI OpenCV Redis Docker Mini-UnionFS |
| Video KYC Fraud Detection | Deep-learning fraud detection with concept and feature drift monitoring (ADWIN, PSI, KS-test, MMD). Research-oriented. | PyTorch OpenCV Python |
📌 Replace each
REPO-NAMEwith the actual repo so the titles link straight to the code.
