Eno Thereska is a seasoned engineering leader and entrepreneur with over a decade designing and shipping large-scale, AI-driven and cloud-native systems; he currently co-founded and leads Trent AI as CEO. His career spans research (PhD from Carnegie Mellon) to senior engineering roles at Microsoft Research, Confluent and AWS—where he helped launch services like S3 Intelligent Tiering, S3 Object Lambda and AWS MSK—and later architected a serverless cell-based platform for AI-driven data protection at Alcion. A pragmatic systems thinker and performance engineer, he has contributed to Apache Kafka internals (improving NetworkClient time handling, backoff, metadata refresh and Streams features) and has a track record of turning research into production-grade infrastructure. He played hands-on roles through startup growth and acquisition, helping teams scale from pre-seed to successful exit, and brings an unusual mix of deep systems research, product delivery, and security-minded AI innovation.
10 years of coding experience
17 years of employment as a software developer
Certificate Photography & Film, Certificate Photography & Film at Pittsburgh Filmmakers
International Baccalaureate, International Baccalaureate at Vienna International School
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Carnegie Mellon University
Contributions:113 commits, 176 PRs, 1216 comments in 1 year 10 months
Contributions summary:Eno primarily contributed to the Apache Kafka codebase by fixing connection backoff mechanisms, improving the time handling within the `NetworkClient` API, and enhancing the metadata fetch/refresh process in the new producer. They also worked on minor improvements by exposing and exposing ReplicaManager gauges and adding the "foreach" operator to enhance streams functionality. Furthermore, the user focused on addressing performance issues by reducing logging verbosity and increasing the number of threads related to database management.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.