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bthek1/README.md

👨‍💻  About Me

class BenedictThekkel:
    title       = "Full-Stack / Product Engineer"
    trained_as  = "Electrical Engineer (UQ, 2024)"
    builds      = "complete products end to end - device to model"
    languages   = ["Python", "TypeScript", "C/C++", "SQL"]
    backend     = ["Django", "Django REST Framework", "PostgreSQL"]
    frontend    = ["React", "TypeScript"]
    infra       = ["AWS", "Docker", "Terraform", "Ansible", "CI/CD"]
    hardware    = ["ESP32", "Arduino", "PCB design", "firmware"]
    ml_ai       = ["PyTorch", "computer vision", "LLM agents (Ollama)"]
    philosophy  = "The best systems are invisible to their users."
  • 🔭  Building production full-stack platforms end to end — schema, auth, REST API, front-end, and cloud deploy (healthcare patient-outcomes platform at Recovery Metrics)
  • ⚡  Electrical engineer by training — comfortable all the way down to firmware and PCBs (Phisaver ESP32 IoT switchbox; contributed a firmware feature now running across the deployed fleet)
  • 🤖  Growing ML/AI practice — PyTorch & computer vision, plus local LLM agents, a self-expanding knowledge graph, and pgvector search in my Stock Market Analyser
  • 🧩  Happiest at the intersection of hardware, software, and ML/AI

🛠  Tech Stack

Languages

Python TypeScript JavaScript C C++ SQL

Backend & Frontend

Django DRF React Vite Tailwind

Cloud & DevOps

AWS Docker Terraform Ansible GitHub Actions Nginx Linux

Data, ML & AI

PyTorch PostgreSQL pgvector Redis Celery Ollama Grafana

Hardware & Embedded

ESP32 Arduino STM32 Altium


📊  GitHub Stats



🐍  Contribution Graph

Snake animation

🤝  Let's Connect

   

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  1. ML_methods ML_methods Public

    Classical machine learning notes: regression, decision trees, ensembles, SVM, Bayesian methods, PCA, clustering and hyperparameter optimization.

    Jupyter Notebook

  2. Python_Libs Python_Libs Public

    Reference notebooks for the Python data and tooling stack: numpy, pandas, polars, dask, plotting libraries, environments, packaging and testing.

    Jupyter Notebook

  3. Software_Tools Software_Tools Public

    Developer tooling notes: Linux administration, tmux, vim and neovim, Proxmox, JupyterLab, Quarto, LaTeX, make and just, regex, C++, PlatformIO and software diagrams.

    Jupyter Notebook 1

  4. Back_End Back_End Public

    Backend web development notes: Django and Django REST Framework in depth, SQL, MySQL, SQLite, Redis, DuckDB, InfluxDB, MQTT and REST API design.

    Jupyter Notebook

  5. DL_methods DL_methods Public

    PyTorch deep learning method notes: training loops, datasets and dataloaders, transfer learning, model architectures, computer vision and LLM workflows.

    Jupyter Notebook

  6. TimeSeriesML TimeSeriesML Public

    Time series forecasting notebooks: XGBoost, Prophet, Darts, Nixtla, FFT analysis and hyperparameter optimization.

    Jupyter Notebook 1