About
I am a third-year Computer Science student at PES University. I like problems where performance, correctness, and practical ML constraints meet.
Core Direction
Systems programming, distributed infrastructure, ML systems, and applied research.
Research Interest
Multi-modal learning, ASR alignment, agentic memory, video understanding, and anomaly detection.
How I Work
I prefer measurable claims: benchmarks, accuracy, latency, failure modes, and maintainable implementations.
Experience
Research Intern, C-ISFCR
Designed and evaluated four multi-modal architectures for unsupervised video anomaly detection, reaching 75.48% classification accuracy on 16.5 hours of NWPU Campus Dataset footage.
Built a keyword-free composite anomaly scoring framework using semantic, visual, object distribution, and temporal signals, with F1 scores of 0.845-0.895 across test categories.
Teaching Assistant, PES CSE
TA for Microprocessors and Computer Architecture under Prof. Chitra GM. Prepared course material and the course project evaluation schema for 700+ students.
Skills
Distributed Systems
Rust, C/C++, Go, Python, Kafka, Redis, Linux, Bash
ML Systems
PyTorch, CUDA, OpenCV, Sentence-BERT, YOLOv11, LLaVA, LLaMA, Flower
Infrastructure
Docker, Kubernetes, GitHub Actions, Spark, Git