Ravi Teja Gadde
Summary
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SeniorRavi Shankar is a results-driven Software Development Engineer with ~8 years of experience and 6+ years building scalable systems at Amazon, where he architected low-latency, high-traffic services for Alexa and Prime. He led Alexa’s Radio Favorites end-to-end, boosting engagement for 34M+ monthly users and contributing to a 20% YoY growth in listening hours, while driving a cross-service migration that cut p90 latency and saved $150K+ annually. Skilled in backend engineering, API design, AWS cloud infrastructure, and integrating LLMs into production — he developed LLM-facing APIs, agentic AI workflows, and tooling that improved developer productivity for Alexa Music. A methodical executor and mentor, he has led operational excellence initiatives that improved availability to 99.99% and reduced customer tickets by 30%. He holds an M.S. in Computer Science from NYU and combines strategic thinking with hands-on delivery across feature development and cost-optimized platform migrations. Notably, he blends production AI integrations with classic systems engineering, making him adept at turning cutting-edge models into reliable, customer-facing capabilities.
8 years of coding experienceGithub contributions (5)
vdemurat/multiple_object_tracking
Nov 2018 - Jan 2019
Contributions:14 pushes in 1 month
raviatnyu/MultipleObjectTracking
Jun 2019 - Jun 2019
Developing and evaluating multiple object tracking methods
Contributions:4 pushes in 1 day
developingdeep-learningobject-detectioncomputer-visiontracking
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