J Wilder
Principal ML Engineer at Intrep.io
Ames, Iowa, United States
Summary
👤
Senior🎓
Top SchoolJ Wilder is a Principal ML Engineer with 11 years of experience building production-grade AI systems, specializing in LLMs, RAG architectures, and generative models for healthcare, retail, and enterprise reliability. He has led engineering efforts that delivered multi-million dollar savings, patented a domain-agnostic encoding for synthetic data, and drove extreme performance and cost improvements (hundreds of thousands-fold in some synthetic workflows). At Intrep.io he focuses on scaling tabular generative models and resilient pipelines for massive, messy datasets, while prior work at Walmart produced a Slack-integrated GenAI ops chatbot handling 1,000+ daily queries with 99.9% uptime. He combines deep research experience (PyTorch, Kubeflow, GANs) with pragmatic product delivery—translating complex ML into measurable business impact. Based in Ames, Iowa, he brings both startup R&D leadership and enterprise-grade reliability engineering to thorny data problems. An understated strength is his ability to design rigorous testing and evaluation regimes that make experimental ML reproducible and trustworthy in production.
11 years of coding experience
5 years of employment as a software developer
Master's degree Machine Learning, Master's degree Machine Learning at University of Wisconsin-MadisonBachelor's degree Computer Science, Bachelor's degree Computer Science at Manning College of Information and Computer Sciences, UMass Amherst
Github Skills (37)
information-retrieval8
aws-lambda8
openai-api8
chatgpt7
azure-functions7
aws7
serverless-framework7
serverless7
retrieval-augmented-generation6
gpt6
lambda6
nodejs6
ai6
python6
llm6
Programming languages (4)
Github contributions (5)
tjwilder/life-knowledge
Aug 2018 - Jun 2021
Contributions:6 pushes in 2 years 10 months
tjwilder/notifier
Feb 2016 - May 2018
Contributions:8 pushes, 1 branch in 2 years 3 months
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