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Iza-3435/README.md

Sai Shinde

Machine Learning Engineer building RL systems for quantitative finance.

Currently working on high-frequency trading infrastructure and real-time market analysis tools.

What I work with

ML/AI: PyTorch, TensorFlow, Reinforcement Learning (DQN/PPO), Transformers
Languages: Python, C++
Tools: Docker, NumPy, Pandas, scikit-learn

Recent projects

  • Multi-agent RL system for order routing across exchanges
  • Market intelligence platform with sentiment analysis and pattern recognition
  • Backtesting engine with Monte Carlo simulations

Contact

LinkedInEmail

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  1. RL-Based-HFT-System RL-Based-HFT-System Public

    Sophisticated 3 phase system for Network Optimization and Order Routing

    Python 1

  2. QuantEdge QuantEdge Public

    AI powered stock research and market intelligence platform

    Python

  3. custom-replay-buffer custom-replay-buffer Public

    Custom C++ replay buffer for reinforcement learning

    C++

  4. portfolio-intelligence-backend portfolio-intelligence-backend Public

    Modular engine for building and backtesting optimized investment portfolios using quantitative strategies and machine learning

    Python