Anirudha Ramesh
Research Engineer at InstaDeep
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAnirudha Ramesh is a research engineer based in San Francisco with eight years of experience building perception and robotics systems on the path toward AGI. With a Masters in Robotics from CMU, he has led end-to-end projects that deploy 24/7 multispectral perception pipelines and advanced domain-adaptation algorithms to make robots robust in unstructured, variable-lighting environments. His work spans industry and academia—from an impactful NeurIPS-published internship at Adobe that improved few-shot segmentation benchmarks and produced a new dataset, to research on monocular SLAM and collision avoidance accepted at IEEE venues. Now at InstaDeep, he brings a blend of systems thinking, algorithmic rigor, and hands-on integration experience that ties novel research to deployable products. Notably, he pairs high academic achievement with practical deployment leadership, often bridging teams to deliver complex, real-world robotics solutions.
8 years of coding experience
4 years of employment as a software developer
Masters in Robotics, Computer Science, 4.12/4, Masters in Robotics, Computer Science, 4.12/4 at Carnegie Mellon UniversityBachelor of Technology - BTech, Computer Science, 9.32/10, Bachelor of Technology - BTech, Computer Science, 9.32/10 at International Institute of Information Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (30)
weechat5
sasl5
semantics5
residual-networks5
ontologies5
high-resolution4
medium4
irc-server4
denoising4
owl4
python3
spring-boot3
slack3
correctness3
super-resolution3
Programming languages (5)
Github contributions (5)
AnirudhaRamesh/SMAI-Homeworks-Monsoon-2019
Oct 2019 - Dec 2019
Repository of SMAI homeworks, Monsoon 2019-20.
Contributions:38 commits, 28 PRs, 36 pushes in 1 month
homeworks
AnirudhaRamesh/Ontology-Determiner
Nov 2018 - Oct 2019
Aims to allow domain experts to view computer generated ontologies in a easy ti understand visual medium, and weigh in on their correctness.
Contributions:1 PR, 6 pushes in 11 months
domain-expertsowlexpertssemanticsdomain
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