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ronniepiku/README.md

Hi, I'm Ronnie Piku

Data Scientist & Machine Learning Engineer focused on building practical AI systems with Python, LLMs, and Computer Vision.

I enjoy developing:

  • AI-powered workflows and automation tools
  • Machine learning pipelines for real-world applications
  • Scalable data and reporting systems
  • Production-ready solutions that balance experimentation with reliability

Currently working in Formula 1, building AI-driven workflows and analytics tools in high-performance environments.

Interests

  • Large Language Models (LLMs)
  • Computer Vision
  • Agentic Workflows
  • ML infrastructure & deployment
  • Data visualisation
  • Applied AI for science and research

Tech

Python SQL PyTorch Git OpenCV pandas NumPy

Always curious, always building.

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  1. eit-sim2real eit-sim2real Public

    Noise-augmented deep learning for sim-to-real transfer in EIT tactile sensing. Uses simulated data and domain randomisation to improve robustness, reduce data needs, and enable accurate real-world …

    HTML

  2. Human-Activity-Recognition-HAR- Human-Activity-Recognition-HAR- Public

    Comparative Study of Machine Learning Approaches for Human Activity Recognition

    Jupyter Notebook

  3. MatchMind MatchMind Public

    Machine learning-driven football analysis suite for player and team performance evaluation, tactical benchmarking, competitor scouting, and advanced xG modelling using StatBoost.

    Python

  4. RCN RCN Public

    End-to-End ML Pipeline for Automated Rally Car Tracking and Professional Broadcast Generation

    Python

  5. portfolio portfolio Public

    A machine learning portfolio showcasing projects in data science, deep learning, and AI system design, with a focus on real-world applications and scalable solutions.

    Nunjucks