Madhav Sharma is an engineer focused on performant low-level software, resilient distributed systems, and scalable infrastructure, with eight years of experience across robotics, trading, cloud networking, and research. He has built navigation, perception, and control stacks for autonomous retail robots and implemented traffic forecasting and capacity-planning ML for the AWS network backbone, reflecting a blend of applied ML and systems engineering. His background in EECS and math from the University of Michigan underpins work on sample-efficient trajectory optimization and low-latency trading systems, showing comfort with both theoretical and production constraints. Now based in San Francisco and building at a stealth startup, he brings hands-on expertise from embedded to cloud, plus a pattern of contributing to open-source scientific computing (Julia) and academic robotics projects. Notably, he moves between research-grade algorithm design and pragmatic system optimization, making him adept at shipping robust, high-performance solutions under real-world constraints.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Honors Mathematics and Computer Science, Bachelor of Science - BS Honors Mathematics and Computer Science at University of Michigan
High School Physics Chemistry Math Computer Science, High School Physics Chemistry Math Computer Science at Delhi Public School - R. K. Puram
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