Leadership
Lead AI Researcher at Manukai AG, Zürich
Led AI research at an AI for Manufacturing company.
Solid Background in Industrial Engineering
Bachelor's degree in Industrial Engineering, relevant to maximizing yield.
Specialist in Graph & Recurrent Neural Networks
Relevant to disentangling complex processes with temporal dependencies while doing root cause analysis.
Advanced Knowledge in Bayesian Machine Learning
Used Bayesian Machine Learning for Collaborative Filtering, relevant to minimizing downtime.
Architect of Real-Time Machine Learning Pipelines
Built production-grade, real-time Machine Learning systems.
Senior Researcher at Harvard & ETH Zürich
18 years developing algorithms for complex physical systems.
High-Performance Computing Architect
Engineered real-time, massive-scale parallel solvers for supercomputers, relevant to maximizing yield.
Expert in State Estimation Algorithms
Developed algorithms that estimate internal system states from noisy, sequential measurements, relevant to minimizing downtime.
Advanced Knowledge in Inverse Modeling
Modeled the hidden variables that created the output data, relevant to root cause analysis.
Software Architect
Proficient in C++, CUDA, and parallel computing.