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Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: Arctic Code Vault Contributor

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denis-mikhalev/README.md

Hi 👋, I'm Denis Mikhalev

Senior Full-stack Software Engineer · C# / .NET · Go
Building scalable, high-performance web apps and AI-powered products

Website · LinkedIn · Stack Overflow · Telegram · X · Instagram · Email

  • 💼 Senior full-stack engineer at Litmos — building the .NET / Azure backend of a corporate learning platform
  • 🧩 7+ years across e-learning, automotive (ETAS / Bosch), banking (Citi) and hospitality SaaS
  • 🛠️ Technical owner of Voicetrics — AI call-analytics SaaS (Go, Python, LLM, speech-to-text)
  • 📈 Side interest: ML for financial time series — reinforcement learning, gradient boosting, backtesting
  • 🌱 I'm currently learning LLM evaluation and prompt engineering at scale
  • 👯 I'm looking to collaborate on RL Trading Agent
  • 💬 Ask me about C# / .NET performance, SQL query optimization, Go, third-party API integrations
  • 📂 All of my projects are available at github.com/denis-mikhalev
  • 📄 Know about my experience: LinkedIn · Resume
  • 📫 How to reach me: hello@denismikhalev.dev
  • 📍 Alanya, Turkey · open to remote and relocation

Tech

C# Go Python TypeScript JavaScript HTML CSS .NET FastAPI GraphQL jQuery Bootstrap PostgreSQL MySQL SQLite MongoDB Redis RabbitMQ PyTorch scikit-learn Azure Docker Linux nginx Windows Git GitHub GitHub Actions Bitbucket Jenkins Selenium Postman Visual Studio Rider IntelliJ IDEA VS Code PowerShell Bash

Also: ASP.NET Core · Entity Framework Core · WPF / WinForms (MVVM) · MS SQL Server / T-SQL · Cosmos DB · Azure Service Bus · Azure AI Foundry · SQLAlchemy · Pydantic · xUnit / NUnit / Moq · SonarQube · microservices · event-driven architecture · CQRS / MediatR · multi-tenant SaaS · LLM integration · WCAG

GitHub stats

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  1. reinforcement-learning-trading-agent reinforcement-learning-trading-agent Public

    Deep RL agent for financial market signal generation — PPO/A2C/SAC/TD3, 99 indicators, ensemble signals, 4-level quality gate

    Python 2 1

  2. quantitative-backtesting-engine quantitative-backtesting-engine Public

    Rule-based quantitative trading signal engine — 4 technical setups, vectorized backtester, multi-asset scanner, parameter sweep optimizer.

    Python

  3. gradient-boosting-market-classifier gradient-boosting-market-classifier Public

    ML-based trading signal system: XGBoost classifier on financial time-series, 51+ features, SMC filter, live multi-asset inference with Telegram alerts

    Python