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Filip MłynarskiFM
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Filip Młynarski

@filipmynarski

Python backend developer at ZEISS who automated lens-quality validation with multi-stage checks.

Poland
Message

At ZEISS, I developed and maintained systems that automate lens-quality validation. I designed multi-stage checks to analyze light-reflection patterns and verify lens angles against precise thresholds.

Previously, I built backend systems at NG Logic for humanitarian-focused logistics businesses and worked on Booksy’s core backend team, where I led four developers. Earlier at Inventive Software LLC, I helped develop tools for graphic designers to transform and upload 3D scenes for web viewing.

Experience

Work history, roles, and key accomplishments

ZEISS logoZE

Senior Python Developer

Oct 2024 - Jul 2026 (1 year 9 months)

Developed and maintained systems to automate the validation of lens quality, ensuring produced lenses met strict curvature and shape standards. Designed and implemented multi-stage validation processes, including analyzing light reflection patterns and verifying angles against precise thresholds.

NL

Senior Backend Developer

NG Logic

Sep 2022 - Sep 2024 (2 years)

Built systems to streamline logistics for humanitarian-focused businesses. Collaborated with project managers, designers, and stakeholders to confirm requirements, optimized internal Python package deployment, and created multiple third-party service integrations.

Booksy logoBO

Python Backend Developer

Sep 2019 - Aug 2022 (2 years 11 months)

Worked in Booksy's core backend team, a fast-growing Polish startup with global reach. Led a team of four developers, ensured end-to-end integration with banking institutions, and created tools to improve the quality of work of other teams.

IL

Python Developer

Inventive Software LLC

Jun 2016 - Mar 2019 (2 years 9 months)

Part of a team to develop tools for graphic designers to easily transform and upload 3D scenes into a web-viewable format. Automated process of composing images by creating RESTful API that allowed users to perform specific tasks on images.

Education

Degrees, certifications, and relevant coursework

Stanford University logoSU

Stanford University

Course, Machine Learning

2018 - 2019

Completed the Stanford Machine Learning course, covering fundamental and advanced machine learning concepts.

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