About
I am a backend software engineer with 9+ years of experience focused on building robust, efficient, and scalable distributed systems. I have worked extensively with Java, Spring Boot, and Apache Kafka to solve high-impact engineering problems and optimize services for performance and reliability. Over my career, I have also deepened my focus on data engineering and storage, heavily utilizing PostgreSQL for advanced query optimization, indexing strategies, and successfully orchestrating zero-downtime database migrations across large, live data volumes. I enjoy diving deep into system bottlenecks and have delivered significant latency improvements, optimized API performance, and strengthened service resilience across large-scale environments. My work spans microservices architecture, API design, event-driven systems, and large-volume data flows. I bring strong experience in cloud-native deployments using Docker, Kubernetes, Terraform, and CI/CD pipelines—ensuring fast, safe, and automated rollouts. I care about clean architecture, observability, efficient resource utilization, and designing systems that scale without friction. Beyond traditional backend infrastructure, I am actively bridging the gap between distributed systems and next-generation AI. I design and implement secure Model Context Protocol (MCP) servers that allow Large Language Models to safely interact with enterprise data, local infrastructure, and developer tools. Bringing GenAI into production, I have built autonomous AI agents like Open Claw to handle complex operational workflows, such as automating on-call support triage and system issue remediation directly within the backend ecosystem. I value ownership, clarity, and engineering excellence. Whether it is improving service throughput, reducing latency, hardening a system against failures, or safely integrating AI models into critical infrastructure, I take a performance-first, quality-driven approach. I am always open to connecting with teams solving challenging backend problems, building systems at scale, or pioneering intelligent automation in enterprise environments.
Work experience
Software Engineer at Wayfair, Apr 2023 - Present · 3 yrs 7 mos
Software Engineer at Google, Apr 2021 - Feb 2023 · 1 yr 11 mos, Bengaluru
Software Engineer at Amazon, Mar 2020 - Feb 2021 · 1 yr, Bengaluru, Karnataka, India
Software Engineer at LazyPay, Oct 2019 - Feb 2020 · 5 mos, Bengaluru, Karnataka, India
Software Engineer at Nissan Digital India LLP, Dec 2018 - Aug 2019 · 9 mos, Trivandrum, Kerala, India
