Igor Sylvester is a software engineer and machine learning expert with 15+ years building low-latency systems, distributed training pipelines, and blockchain infrastructure across fintech, social media, and crypto. He has led engineering teams at scale—from founding roles at Trust Machines and Ritual to staff ML positions at Facebook and Reddit—bridging research-grade ML (MoE, large language models) with production-grade systems engineering in Python, Rust, and C++. His open-source contributions include improvements to the Stacks blockchain node (config, testing, TOML parsing, and SQL profiling), reflecting practical experience in Bitcoin-linked ecosystems and threshold-signature token bridges. Igor combines deep systems-level knowledge (trusted execution, ZK, FHE, SGX) with a trader’s instinct for performance, having started his career in high-frequency trading building next-tick prediction and low-latency gateways. He excels at translating complex cryptography and model architectures into scalable, business-aligned products.
11 years of coding experience
17 years of employment as a software developer
Bachelor's degree Computer Science and Physics, Bachelor's degree Computer Science and Physics at Massachusetts Institute of Technology
Contributions:69 reviews, 83 commits, 24 PRs in 6 months
Contributions summary:Igor primarily focused on improving the configuration and testing of the Stacks node. They fixed test cases and cleaned up existing code, ensuring correct functionality. The user's work involved modifying configuration files and main application files, debugging and resolving address-related issues related to the burnchain. They also implemented and improved TOML config parsing to improve the code quality, and introduced SQL profiling to monitor database interactions.
Contributions:7 pushes, 1 branch in 3 years 5 months
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