Robin Kahlow
Principal Machine Learning Engineer at Runway
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRobin Kahlow is a Principal Machine Learning Engineer based in London with 11 years of experience building production ML systems and software across startups and research-driven teams. Currently leading model engineering at Runway after a rapid progression through senior and staff roles, he blends applied ML expertise with full-stack development skills. His background includes ML engineering at Ntropy and software/ML work at Cambrian, and he contributes to open-source projects like WoWAnalyzer where he improved game-specific analytics for Feral Druid performance. Equally comfortable in product-facing engineering and lower-level analytics, he also pursues game development projects—evidence of a practical curiosity that drives both tooling and user-facing features. Trained in electrical engineering at TU Darmstadt, he brings a systems-oriented approach to model reliability and scalable deployments.
11 years of coding experience
8 years of employment as a software developer
Technischen Universität Darmstadt
English, German, French, Swedish, Chinese
Github Skills (13)
warc10
typescript10
javascript10
wow-js10
typescripts10
data-parsing10
analyser10
world-of-warcraft10
war10
typescript-types10
analyzer10
react9
code-optimization9
Programming languages (11)
Github contributions (5)
WoWAnalyzer/WoWAnalyzer
Dec 2020 - Dec 2020
WoWAnalyzer is a tool to help you analyze and improve your World of Warcraft raiding performance through various relevant metrics and gameplay suggestions.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 11 commits, 1 PR in 6 days
Contributions summary:Robin focused on updating and refining the Feral Druid analyzer module within the WoWAnalyzer project. They implemented changes related to the Bloodtalons talent, including removing outdated mechanics, adjusting damage bonuses, and adding suggestions for optimal gameplay. Furthermore, the user modified code to ensure consistent spelling, removed interactions with other mechanics, and updated the changelog and contributors' section. This work involved modifying front-end checklist components and back-end analytical modules related to game data parsing and analysis.
luareactsuggestionswarcraftworld-of-warcraft
RobinKa/tadiff
Oct 2019 - Jul 2020
Numeric and symbolic automatic differentation for javascript and typescript
Contributions:27 commits, 1 PR, 19 pushes in 9 months
reverse-modemathautomatic-differentiationjavascriptdifferentation
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