Ananth Kashyap
CEO & Founder (YC X25) at Sureform (YC X25)
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAnanth Kashyap is a founder-engineer and CEO of Sureform (YC X25) based in the San Francisco Bay Area, combining five years of hands-on software experience with university studies in Computer Science and Math at UPenn. He has transitioned between high-impact internships and roles—from Google and robotics labs at Carnegie Mellon to Near Earth Autonomy and HEBI—bringing practical expertise in robotics, perception, and production software. A full-stack contributor on projects like the widely used USACO Guide and a back-end/documentation contributor to pypose, he blends polished front-end UX work (search, dark mode) with rigorous mathematical implementations for differentiable robotics. Comfortable moving between research-grade math (Lie groups/algebras) and product delivery, he’s equally at home writing technical documentation as shipping features. His trajectory shows a founder’s penchant for bridging deep technical systems and user-facing product design, with YC backing underscoring early-market validation.
5 years of coding experience
X25, X25 at Y CombinatorHigh School Diploma, High School Diploma at Fox Chapel Area High SchoolBS, Computer Science and Math, BS, Computer Science and Math at University of Pennsylvania
English, Kannada, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
pytorch10
javascript10
tailwindcss10
python10
react10
optimization9
documentation9
data-structures8
algorithm8
data-structure8
computer-graphics7
controlling7
machine-learning7
cpp6
Programming languages (6)
Github contributions (5)
cpinitiative/usaco-guide
Apr 2021 - Sep 2021
A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:37 reviews, 159 commits, 15 PRs in 5 months
Contributions summary:Ananth primarily contributed to the front-end of the project, specifically enhancing the user interface and problem search functionality. They implemented components related to problem search, including search boxes, refinement lists, and difficulty/status filters. Additionally, the user incorporated dark mode styling for the user interface, updating the appearance of several components. The changes suggest a focus on improving the user experience and providing better tools for problem discovery.
cpppythonhigh-qualityusacocompetitive-programming
pypose/pypose
Aug 2022 - Aug 2022
A library for differentiable robotics.
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 commits, 1 PR, 13 pushes in 9 days
Contributions summary:Ananth primarily contributed to the documentation and implementation of mathematical operations within the `pypose` library. They added detailed documentation for `mul` and `matmul` functions, including examples and mathematical explanations. The commits also involved updating and refining the code examples and documentation related to the underlying Lie algebra and Lie group functionalities of the library, improving user understanding of the functionalities. The contributions focused on the `lietensor` module, which is central to the library's differentiable robotics capabilities.
pytorchroboticspythongeometric-deep-learningcomputer-graphics
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