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Government role overseeing road maintenance, safety, and infrastructure projects in Kherson Oblast, Ukraine.
Lead the product vision for a car-sharing marketplace, using algorithms to optimize user experience, operational efficiency, and marketplace dynamics.
Build and scale ML infrastructure for a car-sharing marketplace, designing systems that power pricing, simulations, and payments while ensuring reliability at global scale.
Lead enterprise cybersecurity strategy, risk management, and incident response for a large automotive services company, ensuring compliance and protecting customer and franchisee data across multiple brands.
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Lead the design, development, and delivery of vehicle electronic control units (ECUs) for Rivian, coordinating cross-functional teams and suppliers to meet program timelines and integration requirements.
Design high-speed digital circuits for next-gen vehicle modules, validate implementations, and troubleshoot hardware failures while meeting cost and quality targets.
Own the product strategy and execution for Ford’s Experiences Hub, leading the onboarding of racing experiences and end-to-end transactional flows to surface, book, and monetize events for owners and non-owners.
Leads ML and data-science projects for an automotive-entertainment client, coordinating cross-functional teams to deliver enterprise data initiatives.
Build predictive world models using generative AI and deep learning to simulate how scenes evolve, training autonomous driving and robotics policies from multimodal sensor data.
Builds and maintains Azure cloud infrastructure for a major automotive company, focusing on 80% new projects and 20% BAU operations.
Build and maintain automated test suites for 5G Core and device functions, using Python and Linux to validate wireless systems in virtualized and hardware environments.
Analyze and secure aviation systems and infrastructure to protect against cyber threats and ensure safe operations.
Leads cross-functional programs to deliver autonomous-vehicle technology for trucking, aligning hardware, software, and AI teams while translating complex technical trade-offs into executive decisions.
Develops and implements advanced signal processing algorithms for real-time monitoring and sensing systems, primarily in underwater acoustics and naval applications using C/C++, Python, and .NET.
Build and maintain data pipelines and platforms for clients like NorgesGruppen, designing models and flows to ensure high-quality data and business value.
Leads development of real-time AI perception systems for autonomous trucks, focusing on long-range detection of road actors using deep learning, sensor fusion, and C++/Python in safety-critical environments.
Lead AI inference optimization and deployment for autonomous-vehicle models, tuning low-latency pipelines on embedded and cloud GPUs with CUDA, TensorRT, and LLM serving stacks.
Integrate and test software for autonomous maritime platforms, validating Linux-based systems and supporting sea trials in a defence-focused engineering team.
Senior engineer designs and builds core machine-learning architectures for autonomous-truck perception systems, focusing on long-tail scenarios and cross-team alignment.
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