Jonathan Lwowski
AI/ML Leader • Product, Platforms & Physical AI
San Antonio, TX · jonathan.lwowski@gmail.com
Summary
I’m a technical and product AI leader who builds teams and puts complex AI into production. From PhD research in control systems and robotics engineering, I went on to build Zeitview’s 13-person AI department and now serve as Field CTO for Physical AI & Robotics at Nebius. At Zeitview, I set product strategy and led AI and autonomy delivery with full-stack product partners, improving analysis quality by 29% and cutting operating costs by 27%. At Nebius, I work with a six-person team and customers on Physical AI Workbench and serverless simulation and training proofs of concept. I connect strategy, technical direction, coaching, and field delivery.
Experience
Nebius
Field CTO · Physical AI & Robotics
- Works with a six-person Physical AI team and robotics customers on product strategy and the infrastructure behind the Physical AI flywheel, spanning data, training, simulation, evaluation, and deployment.
- Contributed to Physical AI Workbench and serverless simulation and training proofs of concept, helping shape three solutions through 27+ customer interviews.
- Co-led a joint demo with NVIDIA and Black Forest Labs at GTC Berlin, featuring an open-source workflow that connects those stages.
Zeitview
Director of AI/ML
- Built a 13-person AI department for renewable energy and infrastructure inspection, hired AI and data-labeling leads, and set hiring priorities, product strategy, roadmap, and budget across five verticals.
- Led data labeling, ML science, ML engineering, and autonomy teams, working with full-stack teams for each vertical to launch inspection AI. The products improved analysis quality by 29%, helped attract customers and grow revenue, and cut operating costs by 27%.
- Reached roughly 90% full automation in wind and solar analysis, cutting their operational costs by over 95% and customer turnaround from about two weeks to roughly one hour.
Kespry
Lead AI Engineer
- Led machine-learning platform and computer-vision development for residential and industrial inspection.
Booz Allen Hamilton
Senior Data Scientist
- Conducted applied research in image steganography detection, purification, and adversarial robustness.
Plus One Robotics
Senior Machine Learning Engineer
- Led a two-person AI team and owned end-to-end computer-vision integration for vision-guided robotic picking cells, from software setup and tuning through delivery testing at customer sites.
- Commissioned picking cells for four major logistics clients with shared delivery-test sign-off. Increased picks per minute by 18% to meet a customer target, helping win contracts against competitors.
The University of Texas at San Antonio
Undergraduate & Graduate Research Assistant
- Conducted robotics and controls research in UAV and UGV obstacle avoidance, multi-robot formation control, and cloud robotic networks.
Additional leadership & ventures
GammaEdge LLC
Co-Founder
- Founded and grew a real-time options analytics platform serving more than 200,000 daily requests.
Strike Coach
Strategic AI Advisor
- Advising leadership on AI strategy and scalable growth.
Technical skills
- Robotics & Physical AI:
- Robotics infrastructure, data collection, simulation, evaluation, and workflows for deploying AI in physical systems.
- Simulation & evaluation:
- Isaac Sim, Isaac Lab, Cosmos, and GR00T; scenario generation, sim-to-real workflows, policy evaluation, and deployment feedback loops.
- Perception & machine learning:
- Computer vision, object detection, RGB and thermal imagery, multimodal learning, and foundation-model evaluation.
- ML infrastructure:
- GPU clusters, data collection and labeling workflows, production ML pipelines, model deployment, and MLOps.
- Languages & frameworks:
- Python, C++, SQL, PyTorch, and TensorFlow.
- Technical leadership:
- AI and robotics strategy, architecture, product roadmaps, portfolio prioritization, and multidisciplinary team building.
Education
PhD, Electrical Engineering
The University of Texas at San Antonio · Control Systems · GPA 3.95
BS, Computer Engineering
The University of Texas at San Antonio · GPA 3.6
Selected research & IP
More than 20 research publications and four patents across robotics, computer vision, and multi-agent systems. Co-inventor of Industrial Robotics Systems and Methods for Continuous and Automated Learning (US Patent 11,592,806). Full publication list on Google Scholar.