Rohan Lekhwani is an Applied AI Engineer with 8 years of experience building scalable, production-first systems across cloud, infra-as-code, and conversational AI. Currently at Amazon, he led Ask Rino from 0-to-1—designing remote MCP infrastructure, novel transport extensions, and agentic text-to-SQL workflows that operate on sensitive finance data and have scaled to hundreds of managers and thousands of conversations. Previously at Gojek he architected Skynet, an IaC monorepo that onboarded 1300+ apps and uncovered significant cost savings, and he’s an active open-source contributor and mentor for Rocket.Chat with popular apps like Poll Plus. His research work spans ML for geospatial prediction (94% landslide accuracy at DRDO) and controllable LLM deployments for the Alexa Prize, where his team shipped a voice agent with 66k+ conversations. Comfortable moving projects from prototype to VP-level adoption, he combines deep systems pragmatism with ML/LLM expertise and a track record of community building—from founding InfInITy coding contests to mentoring GSoC projects. Based in Sunnyvale and pursuing an MS at UMass Amherst, he blends academic rigor with production impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering (CSE), Bachelor of Technology - BTech Computer Science and Engineering (CSE) at Indian Institute of Information Technology, Pune
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
Intermediate/+2 CBSE, Intermediate/+2 CBSE at Army Public School, Kirkee
Matriculation ICSE, Matriculation ICSE at Hutchings High School & Junior College
The communications platform that puts data protection first.
Role in this project:
Full-stack Developer
Contributions:3 reviews, 6 commits, 9 PRs in 2 months
Contributions summary:Rohan primarily contributed to bug fixes and improvements across both the front-end and back-end of the Rocket.Chat platform. Their work included fixing issues related to user management, personal access tokens, and user status displays. They also enhanced the user interface by adding tooltips to sidebar icons and toast messages to message actions. The user's contributions demonstrate a focus on maintaining and improving the user experience.
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