Kirill Temlyakov is a data scientist and founder with 11+ years building production-ready ML systems across NLP/LLMs, time-series forecasting, anomaly detection, and recommendation engines. He co-founded MonteEntropy to combine advanced financial models with LLM-driven insights for portfolio management, and previously shipped a task-specific distillation pipeline at Degreed that achieved >98% skill-hierarchy accuracy. Kirill has a proven track record of improving business metrics in production — from a 40% CTR lift via real-time recommendations to superior power-generation forecasts using neural nets plus GBDTs — and emphasizes scalable, maintainable code. He pairs hands-on engineering with cross-functional leadership, having moved prototypes to production across startups and enterprise teams, and brings an atypically deep public-help footprint with 85k+ Stack Overflow reputation. Based in Seattle, he blends financial-economics training with practical ML deployment experience to solve high-impact data problems.
11 years of coding experience
9 years of employment as a software developer
Ph.D. (ABD not completed degree) Financial Economics, Ph.D. (ABD not completed degree) Financial Economics at West Virginia University
Masters Economics, Masters Economics at University of South Carolina, SC
Contributions:9 pushes, 1 branch in 5 years 6 months
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