Kirill Blanter is a Senior Machine Learning Engineer with 11 years of experience building production ML systems and robust backend software across finance, startups, and research. He currently leads end-to-end ML model development for a ~$1B fund and concurrently consults on RAG assistants and large-scale world-model training that secured early-stage funding. Comfortable across the stack, Kirill pairs PyTorch and Hugging Face workflows with low-level C/Rust networking work—having improved security and performance in the widely used libevent project. His background includes optimized SYCL BLAS implementation work upstreamed into Intel’s oneAPI ecosystem and research roles in HCI and computational algebra. He brings a blend of rigorous academic training (UCL MSc, St Andrews BA) and hands-on distributed training experience (multi-H100 setups), making him effective at turning research ideas into production-grade ML products. Colleagues value his mix of security-minded systems engineering and pragmatic, data-driven model engineering.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at University of St Andrews
Contributions:14 reviews, 7 PRs, 51 comments in 3 months
Contributions summary:Kirill's contributions focused on enhancing the security and stability of the libevent library. They addressed potential vulnerabilities related to TLS renegotiation by disabling it in certain configurations, especially when using older versions of mbedtls. Furthermore, they fixed build errors, improved DNS functionality, and added caching to the evdns module, improving performance. They also implemented code to allow reuse of existing connections in http implementation.
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Kirill Blanter - Senior Machine Learning Engineer at Fora Capital