I built a DNS server in Go with RFC 1035-compliant query resolution, packet parsing, header compression, caching, and concurrent request handling.
I've also turned unstructured credit-card statements into structured JSON through a resilient Python extraction pipeline and Streamlit analytics dashboard, including spending analytics and heuristic fraud detection.
For hearing-impaired users, I built a real-time Indian Sign Language-to-text converter using 7,000+ gesture images and 42 hand landmarks, reaching 99.8% accuracy while reducing inference time by 40%. I'm pursuing a B.Tech in Information Technology and bring foundations in machine learning, computer vision, networks, and data systems.
