Adrian Nenu
Manchester, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAdrian Nenu is a PhD candidate in Artificial Intelligence at the University of Manchester with 11 years of engineering experience building large-scale distributed systems, graph analytics, and ML-powered production services at Morgan Stanley and Google. He blends research-grade expertise in reinforcement learning and reasoning with hands-on systems work—having built planet-scale monitoring and generative LLM orchestration components in production. Raised in Romania and trained in the UK (with further studies at MIT and Oxford programmes), he brings a cross-cultural, multidisciplinary approach to connecting theory to systems that scale. Outside research he helps shape the research software ecosystem as a trustee of the Society of Research Software Engineering and through leadership roles in IEEE, where he focuses on sustainable collaboration and volunteer-led platform governance. An engineer who still tweets the playful credo “computo, ergo sum,” he combines entrepreneurial roots as a former CTO with a taste for pragmatic, reproducible AI systems.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at The University of ManchesterArtificial Intelligence Programme, Artificial Intelligence, Artificial Intelligence Programme, Artificial Intelligence at Saïd Business School, University of OxfordMicroMasters, Statistics and Data Science, MicroMasters, Statistics and Data Science at Massachusetts Institute of TechnologyMaster of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at University of Bath"Nicolae Balcescu" National College, Romania
Github Skills (88)
apps-script10
tiles10
mapzen10
php-library10
google-workspace10
javascript10
seo10
rpg10
socket10
swift10
drive10
viewport10
google-apps-script10
map-box10
game-dev10
Programming languages (12)
Github contributions (5)
google-marketing-solutions/prefetchalyzer
Jan 2023 - Feb 2025
Identify impactful pre-fetch and pre-cache opportunities across web pages in user flow by analyzing HAR logs
Contributions:1 release, 1 review, 5 PRs in 2 years 1 month
analyzingharopportunitiesuser-flowcache
nenuadrian/project-omega
May 2023 - Mar 2025
Lightweight Model-View-Controller (MVC) framework for PHP that aims to provide a simple and efficient solution for building web applications. It emphasizes simplicity, flexibility, and performance, making it ideal for small to medium-sized projects.
Contributions:2 PRs, 64 pushes, 2 branches in 1 year 9 months
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