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jeragilo/README.md

Python Machine Learning Docker

Jesús Gil

Computer Science M.S. with a Mathematics background.
I build research-driven, performance-aware systems where correctness, scalability, and real constraints matter.

My work sits at the intersection of machine learning, high-performance computing, and systems engineering, with applied projects in finance, security, and modern software architecture.


What I Build

  • Research systems that test model reliability, limits, and failure modes
    (e.g., noise robustness in hybrid quantum neural networks)

  • Performance-critical code where architecture matters
    (CUDA GPU acceleration, MPI distributed memory, SLURM-based execution)

  • Applied ML systems that go beyond notebooks
    (time-series modeling, inference optimization, deployment-ready pipelines)

  • Secure and scalable software systems
    (backend/frontend architecture, blockchain-based identity primitives)

Across all projects, the emphasis is the same: measure first, reason from data, design for scale.


Selected Work

The pinned repositories below represent complete, production-minded projects:

  • Research on hybrid quantum neural networks and noise robustness
  • CUDA and MPI projects demonstrating GPU acceleration and distributed scaling
  • End-to-end machine learning systems with performance constraints
  • Quantitative finance models grounded in mathematical reasoning
  • Security-focused full-stack systems, including blockchain identity verification

Each repository is documented to explain what was built, why it matters, and what tradeoffs were encountered.


Technical Background (Selective)

Languages:
Python · C++ · CUDA · Java · R · SQL · JavaScript / TypeScript

Parallel & Systems:
CUDA · MPI · OpenMP · SLURM · Linux

ML & Data:
PyTorch · ONNX · scikit-learn · NumPy · Pandas

Web & Infrastructure:
Node.js · Next.js · Docker · GraphQL


Contact


Pinned Loading

  1. quantum-hqnn-thesis quantum-hqnn-thesis Public

    Master’s thesis experimental system evaluating noise robustness and reliability of hybrid quantum neural networks (HQNNs).

    Dockerfile

  2. stock-price-predictor stock-price-predictor Public

    Predict stock prices with deep learning (LSTM) using PyTorch, ONNX, and full-stack architecture

    Python

  3. research-singularity research-singularity Public

    A dynamic AI-driven knowledge hub

    TypeScript

  4. Blockchain-identity-verification Blockchain-identity-verification Public

    Phase 1 implementation of a blockchain-based identity verification system with frontend UI and smart contract foundations.

    JavaScript

  5. cuda-particle-simulation-hpc cuda-particle-simulation-hpc Public

    CUDA-accelerated particle simulation with CPU/GPU benchmarking and execution on the Bridges2 supercomputer

    Cuda

  6. parallel-pi-mpi-hpc parallel-pi-mpi-hpc Public

    High-performance parallel π approximation using MPI and SLURM

    C++