Blake Allen is a data scientist and cofounder with 11 years of experience building full-stack, data-intensive systems and production ML solutions. He leads generative AI model development at a stealth startup after architecting predictive and recommendation models to support opioid and benzodiazepine tapering at Lucid Lane. Comfortable across Python, Go, distributed systems, and realtime APIs, he pairs production engineering chops with formal training from UC Berkeley’s MIDS program and a neuroscience background from UCSC. Blake’s career bridges biotech and consumer-facing products, including founding roles that shipped mobile and event platforms, and early bioinformatics research analyzing genome-wide splice site variation. Curious and interdisciplinary, he’s drawn to projects at the intersection of AI, IoT, blockchain and biotech and enjoys long hikes, cooking, and tabletop gaming when he’s not shipping models.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Neuroscience, Bachelor of Science (BS), Neuroscience at UCSC
Master's degree, Masters of Information and Data Science, Master's degree, Masters of Information and Data Science at UC Berkeley School of Information
Summary of science is a summarization technology which leverages Natural Language Processing (NLP) to summarize and create abstracts for scientific journal articles.
Contributions:33 commits, 10 PRs, 31 pushes in 2 months
nlpleveragessciencejournallanguage-processing
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.