Tillman Elser
AI ML at Console
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolTillman Elser is an AI/ML leader based in San Francisco with nine years of experience building production-grade machine learning systems and leading teams through multiple stages of growth. He progressed from quantitative research roles in government and finance to senior ML engineering and management at Sentry, where he shipped backend anomaly detection, root-cause analysis improvements, and AI-driven suggested-fix features using large-context GPT models. Now at Console, he continues to bridge research and engineering, focusing on scalable ML infrastructure and responsible AI (including PII checks and consent controls). His background in CS, economics, and statistics underpins a pragmatic approach that pairs rigorous quantitative methods with product-focused delivery. An active contributor to the widely used Sentry platform, he combines hands-on engineering with people leadership to move models from prototype to production.
9 years of coding experience
13 years of employment as a software developer
CS + Economics, CS + Economics at Cornell UniversityStatistics, Statistics at Stanford University
Github Skills (22)
error-logging10
anomaly-detection10
python10
apidoc10
aiml10
ml10
api10
ai10
error-log10
crash-reports10
django9
openai9
rest-api8
mlops8
api-rest8
Programming languages (6)
Github contributions (5)
getsentry/sentry
Feb 2022 - Aug 2022
Developer-first error tracking and performance monitoring
Role in this project:
Back-end Developer & AI/ML Engineer
Back-end Developer & AI/ML EngineerContributions:115 reviews, 3 commits, 68 PRs in 6 months
Contributions summary:Tillman primarily contributed to the back-end functionality of the Sentry platform. They made modifications to the anomaly detection endpoints, switching to metrics datasets and incorporating new spans into the root cause analysis feature. Significant work was done related to AI, including updating the AI consent options for Sentry employees, switching the suggested fix model to a 16k token gpt 3.5 model, adding a separate PII check, and updating seer repo and backfill urls. They also removed an anti-joke option from the suggested fix feature and updated the model used for AI suggested fixes.
monitorpythonsentrydjangoerror-monitoring
trillville/trump_bot
Oct 2016 - May 2018
Contributions:126 commits, 4 PRs, 104 pushes in 1 year 7 months
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