Summary
Alex Shershebnev is an ML DevOps leader with 11 years of experience building production-ready computer vision and MLOps systems across startups and enterprise teams. He has led teams of CV/ML engineers and delivered end-to-end infrastructure work—consolidating multi-cloud setups into single-provider AWS environments, authoring Terraform/Terragrunt, and implementing CI/CD and cost-optimizations that cut spend by up to 30%. Hands-on across the stack, he has productionized detection, tracking, and generative models on edge devices (NVIDIA Jetson) and ECS, and created developer-friendly CLI tools to hide Kubernetes/cloud complexity from data scientists. A former research bioinformatician with an Imperial College MSc, he combines rigour from genomics with practical deployment skills, frequently bridging research prototypes to scalable services. Now heading ML/DevOps at Zencoder from Portugal, he pairs deep CV expertise with operational pragmatism and a knack for automating routine ML workflows.
11 years of coding experience
9 years of employment as a software developer
Specialization Deep Learning, Specialization Deep Learning at Coursera
Master of Science (MSc) Bioinformatics and Theoretical Systems Biology, Master of Science (MSc) Bioinformatics and Theoretical Systems Biology at Imperial College London
Sensor Fusion Nanodegree Sensor Fusion, Sensor Fusion Nanodegree Sensor Fusion at Udacity
Master of Science (M.Sc.) Bioengineering and Biomedical Engineering, Master of Science (M.Sc.) Bioengineering and Biomedical Engineering at Сибирский федеральный университет
Bachelor of Technology (B.Tech.) Organic Chemistry, Bachelor of Technology (B.Tech.) Organic Chemistry at Lomonosov Moscow State Academy of Fine Chemical Technology (MITHT)
Russian, English