Pavlos Mitsoulis
Co-Founder And CEO at Verno Labs (formerly Pallma AI)
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolPavlos Mitsoulis is a seasoned AI and data leader with a decade of experience building ML platforms, streaming systems and production-grade AI across companies from Expedia and King to On. He is the co-founder and CEO of Pallma AI, focusing on securing autonomous AI agents across their full lifecycle—bringing a rare mix of startup grit and enterprise-scale ML engineering. Previously he led data, ML and AI efforts as Director at On and earned AWS Machine Learning Hero recognition while co-creating the open-source Sagify tooling for ML on AWS. Pavlos combines hands-on software and data engineering roots with leadership in multi-disciplinary teams, having driven platform, recommender and RL solutions in fast-moving product environments. He also teaches and mentors—an early instructor in big data systems—and has repeatedly transitioned research-grade ML into reliable production services. Based in the UK, he pairs strong academic foundations (Imperial College, AUEB) with entrepreneurial experience dating back to mobile startup TriviTap.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BSc), Management Science and Technology, Bachelor of Science (BSc), Management Science and Technology at Athens University of Economics and BusinessMaster’s Degree, Computing Science, Master’s Degree, Computing Science at Imperial College London
Stackoverflow
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Github Skills (86)
entity-linking10
grafana-loki10
sagemaker10
cython10
llm-inference10
llmops10
ai10
generative-ai10
artificial-intelligence10
text-classification10
aws-cloudwatch10
named-entity-recognition10
langchain10
machine-learning10
large-language-models10
Programming languages (5)
Github contributions (5)
Kenza-AI/the-wise-ml-example
Nov 2017 - Oct 2019
The Wise Machine Learning Example
Contributions:6 PRs, 21 pushes, 7 branches in 1 year 11 months
machine-learning
Kenza-AI/sagify
Mar 2018 - Aug 2022
LLMs and Machine Learning done easily
Contributions:9 releases, 23 reviews, 449 commits in 4 years 5 months
machine-learningsagemakergenerative-ailarge-language-modellarge-language-models
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