Tobi Olatunji
Founder at The Commonwealth
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolTobi Olatunji is a Founder and clinical ML researcher with nine years of experience bridging medicine and machine learning to build scalable health technologies that improve care delivery. A former practicing MD who left clinical practice to engineer context-driven solutions, he has led clinical NLP and speech projects at AWS, Enlitic and now Intron Voice AI, where he’s developing speech recognition across 200+ accents to dramatically cut clinician documentation time. He combines deep clinical domain knowledge, MS-level CS training, and hands-on TypeScript/Python development to deliver production-ready models for NER, relation extraction, information retrieval and clinical annotation QC. An active open-source contributor, he improved Gensim’s LDA tests and implemented an EnsembleLda feature, reflecting a pragmatic focus on reproducibility and tooling. He advises global health initiatives (Harvard, OpenNotes, Commonwealth) and runs Bio-RAMP Labs to amplify minority researchers, demonstrating a rare mix of product leadership, policy influence, and commitment to equitable AI in healthcare.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree Medical Informatics, Master’s Degree Medical Informatics at University of San FranciscoCertificate Healthcare Management, Certificate Healthcare Management at Yale School of ManagementCertificate NYU Tandon Bridge to CS, Certificate NYU Tandon Bridge to CS at New York UniversityDoctor of Medicine (M.D.) Medicine and Surgery, Doctor of Medicine (M.D.) Medicine and Surgery at University of IbadanMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English, French, Yoruba
Stackoverflow
992reputation
139kreached
47answers
20questions
Github Skills (18)
gensim10
python10
data-science10
machine-learning10
topic-models10
natural-language-processing10
topic-modeling10
testing9
numpy9
documentation8
logging6
breakpoints6
nodejs6
webstorm6
supertest6
Programming languages (18)
Github contributions (5)
piskvorky/gensim
Jan 2021 - Oct 2022
Topic Modelling for Humans
Role in this project:
Data Scientist
Data ScientistContributions:13 reviews, 6 commits, 11 PRs in 1 year 8 months
Contributions summary:Tobi made several contributions focused on improving the Gensim library, particularly in the areas of topic modeling and word embeddings. They fixed a broken link in the documentation and clarified the use of random states within the LDA model. Furthermore, they transformed test names to snake_case for better code style and added tests for the `sync_state` method in the LDA model. The user also implemented the EnsembleLda feature, which included several improvements and optimizations.
pythonword-similarityword-embeddingsdata-miningfor-humans
sezanzeb/copy-rename-repeat
Jul 2017 - Oct 2017
Contributions:22 commits, 21 pushes, 1 branch in 2 months
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