Summary
Christos Mitropoulos is a Senior Software Engineer in New York with 11 years of experience building data pipelines and microservices, currently working on data acquisition at Bloomberg. He combines a strong academic background in electrical/computer engineering and software engineering with hands-on expertise in Python, Kubernetes, Docker, Linux, and databases. Previously he designed ML systems for ad fraud and invalid traffic detection at Oracle, applying time-series analysis, anomaly detection, Bayesian methods and scalable pipelines. His work spans research and applied engineering—from developing botnet simulations and HMM gesture recognizers in academic settings to production orchestration with Airflow and Argo. Colleagues describe him as equally comfortable designing statistical models and shipping resilient infrastructure for moving sensitive financial data at scale. An underrated strength is his long-standing habit of bridging low-level systems thinking with practical ML solutions, a skill honed across academia and industry.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Software Engineering, Master of Science - MS, Software Engineering at Rutgers University-New Brunswick
Master's degree, Electrical and Computer Engineering, 8/10, Master's degree, Electrical and Computer Engineering, 8/10 at National Technical University of Athens
Greek, English, German