AI Research & Product Development at Self-Employed
Union City, California, United States
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Summary
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Rockstar
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Top School
David Wolinsky is an AI research and product development lead with 14 years of experience building reliable, production-focused systems that span blockchain, distributed systems, and applied AI. He’s led engineering at Aptos as a founding Head of Engineering, shipping a performant Layer 1 blockchain and shaping the org and tooling from devnet to mainnet. Previously he drove Web3 strategy and secure payments work at Novi/Meta and built scalable, verifiable systems in academia at Yale and the University of Florida. Hands-on across stacks, he contributes to open-source crypto and networking projects—implementing Diffie-Hellman in Go/Python and improving HTTP server implementations—demonstrating both cryptographic rigor and systems pragmatism. Today he focuses on moving AI from assistance to dependable execution by integrating agents, persistent context, and human-in-the-loop workflows. Based in Union City, CA with a PhD background in computer engineering, he blends deep research training with product-first engineering leadership.
14 years of coding experience
19 years of employment as a software developer
PhD Computer Engineering, PhD Computer Engineering at University of Florida
Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
Role in this project:
Back-end Developer & Software Architect
Contributions:1 release, 3134 reviews, 334 commits in 9 months
Contributions summary:David primarily contributed to the back-end development of the Aptos blockchain core. Their commits reveal substantial work on the Move language framework, specifically renaming core structures, and implementing and validating the logic for transactions. They were also involved in the development of various internal APIs and data structures which are necessary for the underlying operation of the blockchain. Furthermore, the user appears to have a working understanding of system architecture and data management concepts.
Contributions:10 commits, 2 PRs, 30 comments in 8 months
Contributions summary:David contributed implementations of Diffie-Hellman key exchange in both Python and Go, demonstrating an understanding of cryptographic principles. The user also refactored existing code within the `cipher` package, fixing a bug in the `Partial` function and adding a test suite. This testing suite was designed to ensure cipher functionality, including encryption, decryption, and authentication, along with checks for sufficient randomness and security against bit flips.
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David Wolinsky - AI Research & Product Development at Self-Employed