Filip Ciąder
ENPL
filip.ciader@gmail.com

Filip Ciąder

Python / JS Automation

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About

Versatile engineer with 5+ years of programming experience across aerospace, robotics, and data engineering domains. I bridge mechanical engineering expertise with modern software development — building Python automation solutions, optimizing XML/ODX databases at Viessmann, and exploring backend, AI/LLM, and data engineering technologies. Currently finishing economics studies while constantly expanding my tech stack through hands-on projects.

Experience

  • Database Modeling Specialist — Viessmann

    2023-05-01 – Present

    Enhancement and optimization of ODX signal databases (XML). Developing Python scripts that automate work previously done manually in KPIT DatabaseDeveloper, speeding up tasks from hours/weeks to minutes.

  • Robotics Programmer — Qt - Swiss

    2022-02-01 – 2023-05-31

    Offline process simulation using Dassault DELMIA for Mercedes-Benz Group AG. Online implementation at the Mini BMW factory in Oxford.

  • Student Project — Mechatronics Workstation — Wrocław University of Technology

    2021-06-01 – 2021-10-31

    Personal technical project alongside studies. Built the complete electronics and software stack for a mechatronics device independently.

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Featured Projects

  • Portfolio Website

    Personal portfolio built with Next.js 16, Fastify API on AWS Lambda, Supabase, and AWS Amplify. Monorepo with pnpm, shared types, CI/CD via GitHub Actions.

  • ODX Automation Scripts

    Python automation suite for ODX signal database operations at Viessmann. Replaces manual KPIT DatabaseDeveloper workflows, handles XML manipulation, template-based generation, and Bitbucket integration.

  • Railway Traffic Control Station

    Didactic station for learning railway traffic control basics. Full stack: dependency diagrams, Python GUI (Tkinter), C++/Arduino embedded control, custom motor drivers, SPI/USB communication.

  • Kalman Filter for LEO Satellite Navigation

    Master's thesis project: Python implementation of Kalman filter for orbital state estimation. Trajectory generation, Gaussian noise simulation, and filtering — all in Jupyter Notebook with Pandas and Seaborn.

  • Forex Historical Analysis

    Bachelor's thesis in economics: simulation engine for long/short positions based on linear, logarithmic, and candle analysis. Python + PostgreSQL backend, matplotlib visualization.

  • CV Maker

    AI-powered CV generation tool — first fully LLM-based project. Structured data extraction, profile enrichment, and automated CV creation.

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Latest Posts

Blog posts coming soon.

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Contact

Contact details coming soon.