Jeremy Watt
Senior Staff Machine Learning Engineer at SmithRx
Greater Phoenix Area United States
Summary
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Rockstar🎓
Top SchoolJeremy Watt is a Senior Staff Machine Learning Engineer and agentic engineering leader with 10+ years building production AI systems, currently scaling GenAI products and teams in the Greater Phoenix Area. He has led end-to-end ML efforts from research-grade models to low-latency, cost-optimized inference in startups and at Amazon, driving measurable gains like 15% higher impressions, 25% brand engagement, and 30% compute cost reductions. A former PhD researcher and adjunct instructor, he blends deep technical expertise in NLP, transformers, and optimization with hands-on product delivery and developer upskilling. As a founding ML engineer he has repeatedly shipped prototypes faster and cheaper—e.g., cutting prototype time 3× and inference costs 30%—while also contributing to educational ML projects such as Udacity’s RNN materials. He’s equally comfortable architecting distributed LLM systems for e-commerce insights and mentoring teams to adopt GenAI responsibly.
10 years of coding experience
9 years of employment as a software developer
MA Mathematics, MA Mathematics at Indiana University BloomingtonPhD Machine Learning, PhD Machine Learning at Northwestern University
Github Skills (6)
keras10
machine-learning10
rnn-model10
n10
python10
jupyter-notebook9
Programming languages (10)
Github contributions (5)
udacity/aind2-rnn
Apr 2017 - May 2017
Project materials for RNN segment of AIND nanodegree
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 10 pushes in 21 days
Contributions summary:Jeremy primarily corrected typos and made minor adjustments to the provided Jupyter Notebook for the RNN project. The code modifications include correcting table typos in the markdown. Additionally, the user made edits to the my_answers.py file, which likely serves as the auto-grading component, suggesting familiarity with the project's structure and evaluation. The user demonstrates involvement in a machine learning project.
pytorchrnnnanodegreedeep-learningmaterials-project
neonwatty/pynih
Apr 2023 - Feb 2025
A Python interface for NIH Reporter APIs
Contributions:9 releases, 1 PR, 31 pushes in 1 year 9 months
pythonapinih
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