NicholasĀ Ustaran-anderegg
London, England, United Kingdom
Summary
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Top SchoolNicholas Ustaran-anderegg is a CTO and co-founder based in London with seven years of experience building technology-driven startups, currently leading product and engineering at AgileRL to accelerate practical AI adoption. Trained at Imperial College London (MEng), he blends rigorous engineering foundations with hands-on leadership in early-stage company building. He focuses on turning research-grade ideas into production-ready systems, balancing strategic direction with day-to-day technical decisions. Colleagues know him for bridging academic rigor and commercial urgency, and for cultivating lean, impact-focused engineering teams. Despite a compact public footprint, his background in maths, physics, and engineering signals strong analytical instincts applied to complex ML and systems challenges.
7 years of coding experience
MEng, MEng at Imperial College LondonA Levels: Maths, Physics, Biology, A Levels: Maths, Physics, Biology at The Royal Latin School
Spanish, English
Github Skills (22)
algorithms10
pytorch10
multi-agent-reinforcement-learning10
python10
gymnasium10
machine-learning10
multi-agent10
evolutionary-algorithms10
reinforcement-learning-environments10
reinforcement-learning10
llm10
hyperparameter-optimization10
mlops10
deep-learning10
api10
Programming languages (4)
Github contributions (5)
AgileRL/AgileRL
Mar 2023 - Jun 2026
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Contributions:12 releases, 69 reviews, 362 PRs in 3 years 4 months
hyperparameter-optimizationreinforcement-learningdeep-reinforcement-learningdeep-learningrlops
nicku-a/ConvLSTM_3D_Brain_Ultrasound
Nov 2020 - Jul 2021
Using Machine Learning to Accelerate 3D Ultrasound Brain Imaging
Contributions:41 commits, 2 PRs, 37 pushes in 7 months
3dimagingmachine-learning
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