Aleks Zi
Research Scientist at Aptos Labs
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAleks Zi is a research scientist in New York with a PhD from MIT and over a decade of deep technical experience focused on high-performance computing, distributed systems, compilers, and efficient neural network execution on CPUs. He has held research and leadership roles at Aptos Labs and Facebook AI and led productization efforts as Technology Director at Neural Magic, turning academic work into production-ready systems. His background includes postdoctoral work at Princeton and MIT and a decade coaching MIT's ACM-ICPC team to international medals, highlighting a rare mix of rigorous research and hands-on competitive programming mentorship. Aleks specializes in optimizing linear algebra and ML workloads across hardware and software stacks, with a track record of bridging theory and engineering to accelerate AI inference. Colleagues describe him as someone who can both invent novel algorithms and shepherd them into scalable, deployable products.
2 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Massachusetts Institute of Technology
Github Skills (9)
aptos10
smart-contracts10
move10
sui10
user-experience10
blockchain-platform10
blockchain-network10
blockchain10
nextra8
Programming languages (3)
Github contributions (5)
aptos-labs/rapidsnark
Oct 2024 - Oct 2024
Contributions:4 reviews, 4 comments in 24 days
aptos-labs/aptos-core
Jul 2023 - Jan 2025
Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
Contributions:191 reviews, 24 PRs, 100 pushes in 1 year 6 months
blockchain-platformblockchainuser-experienceblockchain-networksmart-contracts
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