Robert Parini
Head Of Platform
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRobert Parini is Head of Platform at Intellegens, leading development of scalable infrastructure that integrates the Alchemite ML product into customer workflows while bridging research-grade models and production engineering. With a PhD in theoretical and mathematical physics, he pairs deep expertise in exactly solvable PDEs with nine years of hands-on full‑stack and platform experience to solve complex, boundary-sensitive problems in ML systems. He has practical open-source chops—contributing backend fixes to the widely used hyperopt library—demonstrating attention to maintainability and cross‑team compatibility. Based in Cambridge, he combines rigorous academic training with a pragmatic, product-focused approach to shipping reliable, production-ready ML platforms.
9 years of coding experience
1 year of employment as a software developer
MSci, Mathematics and Physics, 1st, MSci, Mathematics and Physics, 1st at Durham UniversityPhD, Theoretical and Mathematical Physics, PhD, Theoretical and Mathematical Physics at University of York
Github Skills (7)
hyperparameter-optimization10
machine-learning10
python10
numpy10
scipy8
tqdm6
fest3
Programming languages (10)
Github contributions (5)
hyperopt/hyperopt
Sep 2021 - Sep 2021
Distributed Asynchronous Hyperparameter Optimization in Python
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 commit, 1 PR, 2 issues in 1 day
Contributions summary:Robert made several code changes to the `hyperopt` library, which focuses on hyperparameter optimization. Their contributions include fixing a homepage URL, removing a Python 2 dependency, removing instances of `old_div`, and removing `basestring`. The code modifications span multiple files, including those related to core functionality and testing, showcasing their engagement with the project's implementation. These changes suggest a focus on code quality and maintainability within the context of a machine learning library.
pythonasynchronoushyperparameteroptimizationmultiprocessing
rparini/cxroots
Jan 2017 - Jan 2023
Find all the roots (zeros) of a complex analytic function within a given contour in the complex plane.
Contributions:41 releases, 14 reviews, 1040 commits in 6 years
zeroscomplex-analysispythonanalytic-functionsanalytic
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