Built and deployed Kafka-based real-time streaming pipelines on AWS, processing 10M+ events/day with sub-second latency, empowering customers with actionable insights at scale.

Drove 25% efficiency gains by integrating AI-driven automation into workflows, reducing manual intervention across deployment and monitoring pipelines.

Improved reliability and time-to-resolution by 30% through automated testing, CI/CD optimization, and proactive debugging with GitHub Copilot.

Partnered with product managers and mentored junior engineers, ensuring delivery of high-impact features while scaling engineering best practices across teams.

Automated functional testing pipelines with Python and Jenkins, reducing production bugs by 20% and accelerating release cycles by 2–4 days.

Expanded REST API test coverage with a reusable framework, delivering real-time reporting and improving product reliability at scale.