Justin Smith is a Senior AI Data Scientist with eight years of experience building and deploying NLP and ML solutions across academia, federal government, and industry. He has led teams and technical initiatives at healthcare and medtech companies—delivering production MLOps, faster model training/inference, and revenue-impacting solutions including a regex system that quadrupled product revenue and recovering $300M in projected revenue. His work spans end-to-end pipelines from PySpark preprocessing and PyTorch Lightning reimplementations to LLM/RAG proofs-of-concept and Streamlit apps used to persuade executives. A former AAAS Science & Technology Policy Fellow and PhD physicist, he brings rigorous quantitative modeling, published research, and cross-disciplinary collaboration to product-focused problems. He also mentors engineers, builds reusable Python packages and tooling, and has translated research prototypes into scalable production systems. Based in California, he combines academic depth with practical engineering that prioritizes reproducibility, cost efficiency, and measurable business outcomes.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Science Physics, Bachelor of Science Physics at University of California, Davis
Create summaries of text that are tuned for improving classification accuracy.
Contributions:2 PRs, 11 pushes, 1 branch in 6 months
nlpclassificationpythonmachine-learningtuned
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.