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tommygrammar/README.md

Tom Muga | C++ Engineer

Performance-Critical Systems & High-Throughput Simulations

  • C++17/20 • High-Performance Computing • Low-Latency Design

🧰 Technical Stack

  • Languages: C++17/20 (Expert), Python (Interop/Orchestration)
  • Performance: Cache-efficient layout, SIMD-friendly data structures, Heap elimination, RAII.
  • Parallelism/Math: OpenMP, Cholesky Decomposition, Stochastic Modeling, MCTS.
  • Tooling: CMake, perf, Intel VTune, Valgrind, GoogleTest, Google Benchmark.

📫 Connect with Me

  • Email: tommuga@gmail.com
  • Location: Remote (UTC+3)
  • LinkedIn: linkedin.com/in/tom-muga/

Pinned Loading

  1. entropy-guided-optimization entropy-guided-optimization Public

    A hybrid optimizer that combines information-theoretic entropy minimization, Bayesian variational updates, and hierarchical clustering to achieve ultra-fast, deterministic convergence on black-box …

    C++ 1

  2. Multi-Agent-Belief-Distribution-Framework Multi-Agent-Belief-Distribution-Framework Public

    a multi agent belief distribution framework designed to enable decentralized coordination in multi agent environments.

    C++

  3. weekly_cashflow_simulator weekly_cashflow_simulator Public

    This project implements a Monte Carlo simulation engine for estimating business cash flows using historical data.

    C++