T
Timur Fakhrtdinov
About
Detail
Bavaria, Germany
Résumé
Jobs
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- QMachine Learning Engineer (R&D)Quantum BrainsAug 2021 - Jul 2025 (4 years)A high-frequency trading (HFT) fund. - Developed a new RL training pipeline, achieving 3 times faster training compared to the previous system. - Researched and developed reinforcement learning algorithms for high-frequency trading, leading to profitable performance in production. - Designed and implemented a novel reward system for reinforcement learning agents, resulting in the team top-performing model. - Conducted statistical analysis and backtesting to evaluate RL agent performance and support iterative improvements. - Implemented techniques from recent RL research papers to enhance model performance and training stability.
- NData ScientistNN FormatAug 2020 - Aug 2021 (1 year 1 month)Energy services company. - Improved forecast accuracy and reduced electricity surplus by 30% through optimization insights. - Developed a machine learning model to predict electricity prices, enabling 3% average savings through consumption forecast adjustments. - Automated forecasting with pipelines for preprocessing, training, and evaluation saving time and manual effort. - Designed and taught hands-on Python lessons for 20+ school students as part of an outreach program, guiding them toward building basic ML project prototypes.
Education
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- SBachelor of Applied Mathematics and Computer ScienceSt. Petersburg State UniversityJan 2016 - Jan 2020 (4 years 1 month)Bachelor's thesis – “Quasi-random numbers in American options pricing"
Projects (professional or personal)
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- LLLM-powered RAG for Semantic Search on arXiv AbstractsSep 2025Developed a FastAPI microservice that enables semantic search and contextual Q&A over arXiv abstracts using Retrieval-Augmented Generation (RAG) with LLMs. The project integrates OpenAI embeddings, pgvector, and Docker for a reproducible setup.