Summary
Karel Ha is a high-IQ polymath and senior AI engineer with 13 years of experience building research-grade ML systems and production LLM tooling across startups and enterprise teams. He combines deep expertise in LLMs, computer vision, reinforcement learning and prompt “meta‑engineering” with a strong systems background from roles at PwC, Pure Storage, Volkswagen, TUM and Imperial College. Karel favors autonomous, deep‑work environments where he can lead as a senior individual contributor or research lead and has repeatedly delivered auditable, production-ready automation (e.g., GCaaS report pipelines and multi‑agent orchestration). His track record includes publishing research (TensorCFR), advanced prompt engineering with Claude/GPT families, and cross-domain problem solving from genome inference to real‑time DAQ optimizations at CERN. Multilingual and internationally seasoned, he pairs elite academic results with a pragmatic, code‑centric approach and a clear preference for roles that minimize micromanagement while maximizing impact.
13 years of coding experience
6 years of employment as a software developer
Maturita, Languages, 1.0 (1 = best, 5 = worst), Maturita, Languages, 1.0 (1 = best, 5 = worst) at Masaryk Grammar School, Pilsen, Czech Republic
Master's Degree, Discrete models and algorithms, 1.0 (1 = best, 4 = worst), Master's Degree, Discrete models and algorithms, 1.0 (1 = best, 4 = worst) at Charles University in Prague
Czech, English, Vietnamese, German, Spanish, French