Summary
Ivan Chernukha is an AI Engineer with 11 years of experience specializing in productionizing generative AI (RAG and agentic systems) and optimizing models for edge deployment across cloud and constrained devices. He has taken solutions from research to scalable, revenue-generating systems—building search and RAG pipelines with Azure OpenAI and production robustness checks integrated into CI/CD. His background spans computer vision, multimodal AI and robotics, with hands-on edge work on Jetson and Raspberry Pi and experience accelerating inference via TensorRT. As a former senior ML engineer at ABS he led ISO-aligned AI practices and contributed to award-recognized churn prediction and monitoring platforms. He co-founded a robotics startup and has a track record of reducing costs and latency in large-scale training and scoring pipelines. Based in Stockholm, he blends practical MLOps, deployment optimizations and research-driven innovation, and shares projects and notebooks on GitHub and Kaggle.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, major in Data Science, 104/110, Master's degree, Computer Science, major in Data Science, 104/110 at Università degli Studi di Trento
MRS Summer School on Multi-Robot Systems, MRS Summer School on Multi-Robot Systems at MRS Group at FEE-CTU Prague
Computational Neuroscience, Computational Neuroscience at X Summer School AACIMP
Deep Learning, Deep Learning at Bilbao International Summer School
Bachelor's degree, Software Engineering, Bachelor's degree, Software Engineering at Taras Shevchenko National University of Kyiv
English, Ukrainian, Russian, Italian