About Me

I am a Software Engineer with hands-on experience in backend development, cloud-native systems, and platform engineering. I am skilled in designing and scaling distributed applications using technologies like Go (Golang), Python, FastAPI, PostgreSQL, Kubernetes, and Redis.

At CAI Technologies, I played a key role in developing a Kubernetes cost optimization engine that simulates autoscaling and performs intelligent workload reallocation, achieving up to 40% reduction in node usage. I also engineered critical backend services — including Admin Approval, Audit Logs, and Notification Service — leveraging Redis Streams to simplify event-driven architecture and boost system reliability and throughput.

I architected a Cost Center Service integrating OpenCost and Prometheus for real-time cost tracking and pod-level analytics, and led the development of high-performance data and workflow modules that enhanced platform scalability and efficiency. My core strengths include API design, system performance tuning, and automation of large-scale infrastructure.

Previously, I worked in AI-based healthcare research, developing deep learning models for Autism Spectrum Disorder and brain tumor classification, resulting in a peer-reviewed IEEE publication.

Outside of my work, I enjoy playing basketball and badminton. I am also into bikes and love long rides.