My work spans scientific computing, distributed backend systems, medical image analysis, and modern AI infrastructure. I enjoy turning complex research prototypes into reliable, secure, and maintainable products.
🎓 Education: M.Tech in Computer Science, Indian Statistical Institute (ISI) | B.Tech in CSE
🎯 Current Focus: Building highly available, asynchronous API architectures and enterprise-grade AI deployments.
🌱 Currently Exploring: Agentic AI, Multi-Agent Systems, RAG Pipelines, and Vector Databases.
💼 Open To: Roles in AI Engineering, Backend Architecture, and Applied Research.
Stack: FastAPI, MySQL, Windows Event Logs
Implemented mTLS authentication and secure JWT authorization pipelines. Designed a high-performance asynchronous backend capable of scaling enterprise print telemetry data.
Stack: OpenCV, Python, Scientific Computing Libraries
Engineered B-Spline and Demons registration models. Applied research to 3D reconstruction and histopathology to improve automated diagnostic accuracy.
Stack: PyTorch, Interactive Dashboards, Data Engineering
Processed and analyzed massive NASA datasets to build robust machine learning models for geological material prediction.
Stack: TensorFlow, YOLO, FastAPI, Docker, JWT
Designed an end-to-end computer vision pipeline with integrated anti-spoofing mechanisms, containerized for rapid, scalable production deployment.
