Quantitative Developer CV

Eduard Samokhvalov //Eduard Samokhvalov Quantitative Developer

Email: edward.samokhvalov@gmail.com

Phone & WhatsApp: +7 499 119 23 66

Telegram: https://t.me/EduardSam

Github: https://github.com/algomaschine/

Русская версия: https://eduardsamokhvalov.online/ru/

Professional Summary

An experienced specialist at the intersection of IT and quantitative finance with deep expertise in developing and supporting automated trading systems, machine learning, and data analysis. My professional activity covers the full cycle: from research and building predictive models to architecture, implementation, and technical support of ready-made solutions.

AI / LLM / RAG / Agents

I deeply research and apply modern approaches, including Transformer architectures and Large Language Models (LLMs), for text data analysis, feature generation, and building intelligent systems. Interested in tasks related to Retrieval-Augmented Generation (RAG).

ML Frameworks & Models

Practical experience with CatBoost, XGBoost, LightGBM, H2O AutoML, ResNet, TimeNet, Autoencoders, N-Hits/N-Beats. Deep time series analysis including spectral analysis of cycles and seasonality tracking with Facebook Prophet. Creating feature engineering pipelines.

Quantitative Development

Development, backtesting and optimization of algorithmic trading strategies using Python and distributed optimization libraries. Following modern quant finance principles (M. López de Prado):

  • Strict overfitting control via Purged/Combinatorial Purged Cross-Validation, Deflated Sharpe Ratio and PBO analysis with OOS/OOT splitting
  • Feature and label construction using Volume Bars, Triple-Barrier Method and Fractionally Differentiated Features
  • Meta-Labeling for separate risk and position size management
  • Building models based on order book and blockchain data, optimizing for Sharpe/Calmar/Sortino metrics
  • Portfolio formation using hierarchical clustering of assets

Technical Support / Administration

Extensive experience supporting and administering electronic trading platforms (MetaTrader 4/5, cTrader, Integral, Currenex), log analysis (FIX, MT), liquidity configuration (OneZero bridge), incident resolution, and database work (MySQL, Oracle, MS SQL).

My approach is based on comprehensive use of market and non-market data, strict risk management, and building robust systems that ensure stable performance across various market conditions. I seek complex projects where I can apply a combination of expertise in quantitative finance, machine learning, and practical IT skills.

Professional Experience

Education

Certifications

Publications & Media

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