Summary
Overview
Work History
Education
Skills
Projects/Publications
Timeline
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Ryan Compton

San Francisco, California, United States,CA

Summary

Dynamic Technical Lead with a proven track record at Lamini, excelling in AI Ops and MLOps. Spearheaded synthetic data generation tools and mentored teams, enhancing collaboration. Expertise in machine learning and strong communication skills drive successful deployment of LLM applications, ensuring customer success and innovative solutions.

Overview

5
5
years of professional experience

Work History

Technical Lead - AI Ops

Lamini
01.2025 - 05.2025
  • Led and delivered two products on Synthetic Data Generation workflow tools - Memory RAG, Agentic Pipeline Toolkit
  • Provided educational expertise and mentoring to team members.
  • Spearheaded technology roadmap between sales and engineering teams

Solution Architect

Lamini
06.2024 - 01.2025
  • Customer success through deployment of Lamini platform in on-prem environment, building and teaching customers how to develop LLM applications using Lamini
  • PoCs for text-to-sql, document retrieval, and classification LLM applications

Senior Data Scientist

Climate LLC
01.2022 - 04.2024
  • Developed deep learning models to support farming management practices.
  • Built MLOps processes for robust statistical and machine learning models in production.
  • Mentored interns working on experimental projects enhancing modeling capabilities.
  • Lead coding and software engineering cultural principles within the modeling organization.

Senior Data Scientist

C3.ai
03.2020 - 12.2021
  • Implemented AI production systems with actionable insights across medical, financial, and manufacturing industries. 
  • Contributed to internal product development of C3's AI platform for automated model governance. 
  • Lead research on state-of-the-art approaches for Explainable AI and Graphical Applications.

Education

Doctor of Philosophy (PhD) - Computer Science

University of California, Santa Cruz
03-2019

Skills

  • Machine Learning Deep Learning LLMs, Natural Language Processing, Graphical Modeling, Causal Modeling
  • MLOps Requirements Gathering, Data Engineering, Pipelining, Governance
  • Leadership of project teams and mentorship of interns
  • Quantitative/Qualitative Research Methods User Experience Research, A/B Testing, Surveys
  • Programming Python, Java, Javascript, C#, C

Projects/Publications

Memory RAG

Simple High-Accuracy  LLMs using Embed-Time  Compute. https://github.com/rcompt/rcompt.github.io/blob/master/files/Memory-RAG-Simple%20High-Accuracy-LLMs.pdf


Risks and Remedies for Black Box Artificial Intelligence

A discussion on advantages and implementing interpretable AI. https://c3.ai/blog/risks-and-remedies-for-black-box-artificial-intelligence/


Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings

Publication on a method providing a means to explore embeddings distributionally and visually. https://ceur-ws.org/Vol-2600/short2.pdf

Timeline

Technical Lead - AI Ops

Lamini
01.2025 - 05.2025

Solution Architect

Lamini
06.2024 - 01.2025

Senior Data Scientist

Climate LLC
01.2022 - 04.2024

Senior Data Scientist

C3.ai
03.2020 - 12.2021

Doctor of Philosophy (PhD) - Computer Science

University of California, Santa Cruz