Filip Ciąder

O mnie

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.

Doświadczenie

• Database Modeling Specialist — Viessmann

  2023-05-01 – Obecnie

  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.

Wybrane projekty

• 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.

Najnowsze wpisy

Wpisy na blogu wkrótce się pojawią.

Kontakt

Dane kontaktowe wkrótce się pojawią.