Ryan Mcconville
Machine Learning Engineer at University of Bristol
Bristol, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRyan Mcconville is a machine learning engineer and academic with 14 years of experience building ML systems from research prototypes to deployed products. He combines industry-grade tooling work at Weights & Biases with continuing senior lecturing and research at the University of Bristol, focusing on applied ML, IoT-derived health metrics, and graph-based anomaly detection. His background spans end-to-end software delivery—Python, Django, embedded controllers, and JavaScript—evident from early production systems used in schools and large customer bases. Notably, he led development of a custom ML platform that was deployed into UK homes to derive health signals from smart-home IoT, bridging lab research and real-world impact. Trained to PhD level in machine learning, he brings both rigorous research methods and pragmatic engineering to cross-disciplinary problems.
14 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Science, 1st Class Honours, Bachelor of Engineering (BEng), Computer Science, 1st Class Honours at Queen's University Belfast
Github Skills (60)
pytorch10
data-science10
clustering-algorithm10
llama10
machine-learning10
multimodal10
inference10
large-language-models10
tpu10
reinforcement-learning10
amd10
llm10
audio10
keras10
hyperparameter-optimization10
Programming languages (4)
Github contributions (5)
rymc/dotfiles
May 2017 - Dec 2025
Contributions:16 pushes, 1 branch in 8 years 9 months
rymc/bug-bench-staging-v2
Oct 2025 - Oct 2025
Contributions:602 PRs, 23 pushes, 856 branches in 2 days
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.