Aayush Naik
CTO & Co-Founder at Hypercubic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAayush Naik is a software engineer and startup CTO with 11 years of experience building autonomous systems—from collaborative robotic arms and AUVs to AI agents exploring mazes—and now leading product and engineering at a San Francisco-based startup he co-founded. He spent several years at Apple advancing production-grade software and holds an MS in Computer Science from UC San Diego where he researched cognitive robotics. Comfortable in culturally diverse, fast-paced teams, he combines hands-on engineering with systems-level thinking to move prototypes into robust deployments. He also contributes to open-source projects’ documentation, improving developer experience in widely used tooling like coala’s linting ecosystem. Known for writing clean, maintainable code, he pairs practical robotics expertise with a penchant for clear technical communication.
11 years of coding experience
5 years of employment as a software developer
University of California, San DiegoBachelor of Technology (Honours) Computer Science, Bachelor of Technology (Honours) Computer Science at International Institute of Information Technology Hyderabad (IIITH)
French, Hindi, Marathi, English
Github Skills (5)
linter10
lint10
documentation10
code-analysis8
python5
Programming languages (7)
Github contributions (5)
coala/coala
Feb 2016 - Feb 2016
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Technical Writer
Technical WriterContributions:6 commits, 10 PRs, 73 comments in 7 days
Contributions summary:Aayush primarily contributed to the project's documentation and tutorials. They added tutorial links, explained the use of variables within the Linter Bears tutorial, and provided a tutorial on self-correcting bears. They also fixed typos and made minor formatting changes, indicating a focus on improving documentation clarity and accuracy.
command-line-interfacelintingprogramming-languagepythoncode-analysis
aayn/crar-pytorch
Apr 2020 - Jul 2020
PyTorch implementation of Combined Reinforcement Learning via Abstract Representations (CRAR).
Contributions:59 commits, 12 PRs, 41 pushes in 2 months
pytorchreinforcement-learningdeep-learningdeep-reinforcement-learningreinforcement-learning-algorithms
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