

Staff Software Engineer at StackAdapt
Staff Software Engineer at StackAdapt
I’m a software architect and machine learning engineer with 10+ years building systems where ML has to survive production, not just a notebook. I helped evolve a globally distributed prediction platform serving >5M QPS under a 50ms latency budget, architected the deep learning models behind its decision layer, and built the MLOps tooling that cut model time-to-production by ~3x.
Before that: a PhD in Computer Science at KIT (magna cum laude), doing GPU-accelerated computer vision over multi-terabyte 3D datasets.
I made the academia-to-industry jump myself, so I know what actually transfers and why a research CV loses recruiters in the first ten seconds.
How I can help: • CV review – turning publication-heavy academic CVs into industry-readable ones • LinkedIn review – headline, About, and experience rewrites that get you found • Portfolio review – which projects to show, and how to frame them • Academia → industry – target roles, skill gaps, realistic timelines • Career advice – moving toward applied ML, MLE, or backend/platform work
Best for PhDs and researchers eyeing industry, plus early- to mid-career engineers who want specific feedback rather than encouragement.