Summary
Bogdan Dobrica is an Artificial Intelligence Engineer and tech lead with 14 years of experience building data-intensive, production-grade ML systems across fintech, automotive, logistics, media and advertising. He specializes in turning advanced models into reliable, high-throughput inference services and designing ML lifecycle infrastructure, including Kubernetes-based inference architectures and multi-provider LLM gateways. Comfortable across the stack, he regularly combines Python, Airflow, Databricks, Terraform and cloud (AWS/GCP) with CI/CD and GitOps practices to accelerate experiments-to-production. His background as a Ph.D. in theoretical physics gives him strong mathematical and algorithmic rigor that he applies to anomaly detection, reinforcement learning and large-scale ETLs. Bogdan has led teams and architecture efforts at Bolt and Cognizant Softvision, and previously founded and scaled a profitable software business, demonstrating both technical leadership and entrepreneurial drive. Outside work he experiments with personal ML and LLM projects, staying hands-on with emerging tooling and deployment patterns.
14 years of coding experience
15 years of employment as a software developer
Master of Science (M.Sc.), Distributed Systems, 86.6, Master of Science (M.Sc.), Distributed Systems, 86.6 at University of Bucharest, Faculty of Mathematics and Computer Science
Doctor of Philosophy (Ph.D.), Closed Symmetric Monoidal Categories with Application to Exergy Conversion, Doctor of Philosophy (Ph.D.), Closed Symmetric Monoidal Categories with Application to Exergy Conversion at University of Bucharest, Faculty of Physics