Projects

Selected projects from my work in data science, machine learning, and full-stack development.

  1. Vision Planner — Product Configuration Platform

    Full-stack product configuration and AR visualisation platform (vision.hella.info) built with Next.js, React, TypeScript, Python services, CI/CD, and security audits.

    • Next.js
    • React
    • TypeScript
    • Python
    • CI/CD
  2. User Feedback Web Application

    Flask/PostgreSQL web app with user authentication, room and user management, scheduled reminders, and real-time sensor visualisation via the HELLA ONYX REST API.

    • Python
    • Flask
    • PostgreSQL
    • REST API
  3. Employee Timesheet Automation

    Python tool automating FFG-compliant time-tracking and documentation — groups entries by project, slices by period, and prepares signature-ready outputs.

    • Python
    • Automation
  4. Rod-Length Optimisation & Scenario Planning

    PuLP-based optimisation tool translating manufacturing constraints into deterministic cutting recommendations, contributing to an estimated 15% material reduction.

    • Python
    • PuLP
    • Streamlit
    • Flask
  5. RL for Comfort-Based Shading Control

    Proof-of-concept reinforcement-learning pipeline using PPO for solar-shading control, validated on synthetic Radiance simulation data.

    • Python
    • Reinforcement Learning
    • PPO
    • TensorFlow
    • Radiance
  6. Demand Forecasting Pipeline

    LSTM- and SARIMA-based demand forecasting pipeline for industrial R&D, with rigorous evaluation informing operational feasibility decisions.

    • Python
    • LSTM
    • TensorFlow
    • SARIMA
    • pandas
  7. Product & Market Web Scraper

    Python/BeautifulSoup scraper for structured product data collection — the same techniques later uncovered exposed API keys and insecure API calls on a target site.

    • Python
    • BeautifulSoup
    • Web Scraping