Lester Miranda
PhD Candidate
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLester Miranda is a PhD candidate and NLP specialist with a decade of engineering and research experience spanning consulting, open-source development, and industry roles at Explosion and AI2. He focuses on low-resource and multilingual NLP, efficient models, and corpus annotation, bringing both practical production experience—such as QA and test automation contributions to spaCy—and research-grade implementations like batch PPO in ChainerRL. Comfortable across the full ML lifecycle, Lester has led reproducible releases and documentation for research toolkits (e.g., pyswarms) and improved testing infrastructure that increased maintainability of widely used projects. Based in Greater Cambridge, he combines rigorous academic training from Waseda and Ateneo with hands-on engineering instincts, often tackling language problems for underrepresented languages such as Tagalog.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of CambridgeMaster of Engineering (M.Eng.), Master of Engineering (M.Eng.) at 早稲田大学 WASEDA UniversityIngenieur Généraliste, Ingenieur Généraliste at Icam - Institut Catholique d'Arts et MétiersBachelor of Science (BS), Bachelor of Science (BS) at Ateneo de Manila University
Stackoverflow
368reputation
12kreached
4answers
2questions
Github Skills (22)
tokenize10
ppp10
pytest10
python10
chainer10
testing10
machine-learning10
reinforcement-learning10
tokenizer10
documentation10
algorithm9
natural-language-processing9
deeplearning-ai9
deep-learning9
optimization9
Programming languages (19)
Github contributions (5)
ljvmiranda921/pyswarms
May 2018 - Jul 2022
A research toolkit for particle swarm optimization in Python
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:15 releases, 22 reviews, 89 commits in 4 years 2 months
Contributions summary:Lester contributed to the project by updating the documentation, specifically the README and the AUTHORS list. They also bumped the version of the library, indicating release management responsibilities. Furthermore, they worked on the examples, including a tutorial on Inverse Kinematics using Particle Swarm Optimization and the documentation for visualizations.
particleoptimization-algorithmspythonswarmglobal-optimization
explosion/spaCy
Oct 2021 - Aug 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:67 reviews, 20 commits, 18 PRs in 9 months
Contributions summary:Lester primarily focused on adding and modifying test cases within the spaCy library. Their work included creating new tests for Tagalog tokenization, which involved adding test fixtures and writing tests for punctuation and text handling. The user also contributed to the testing infrastructure by developing a script to automatically add pytest markers for issue tracking and decorated existing tests, improving test organization and issue identification. These efforts significantly enhance the reliability and maintainability of the spaCy project.
fairness-mlpythondata-preprocessinglanguage-processingtokenization
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