# Ryan Compton > Founding Forward Deployed Data Engineer Location: San Francisco, California, United States Profile: https://flows.cv/ryancompton I am Data Scientist/Researcher interested in how individual and social behavior can be explained by large scale data analysis. I actively explore how to bridge the insights gained from machine learning systems into fair, accountable, and transparent models. ## Work Experience ### Founding Forward Deployed Data Engineer @ Eliza Jan 2026 – Present | San Francisco, CA ### Senior Machine Learning Engineer @ Lightning AI Jan 2025 – Jan 2026 | San Francisco, California, United States ### Technical Lead - LLM Synthetic Data Pipeline/Evaluation @ Lamini Jan 2025 – Jan 2025 | Menlo Park, California, United States - Leading a team of 4 in the development of agentic pipelines for synthetic data generation - Fine tuning of LLMs using LoRA methods - Product management of python client module - Spearhead of product roadmap for Sales and Engineering teams ### Solution Architect @ Lamini Jan 2024 – Jan 2025 | Menlo Park, California, United States ### Senior Data Scientist @ Bayer Jan 2022 – Jan 2024 | San Francisco, California, United States - 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. - Led coding and software engineering cultural principles within the modeling organization. ### Senior Data Scientist @ C3.ai Jan 2020 – Jan 2021 | Redwood City, California, United States - 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. ### Lead Data Scientist @ Quantiply Corporation Jan 2019 – Jan 2019 | San Jose, CA - Built explainable AI systems to combat money laundering. - Conducted research on Dynamic Clustering, Graph Embeddings, and Explainable AI insights. - Lead and expanded Data Science team. ### Computer Science PhD Candidate @ University of California, Santa Cruz - Jack Baskin School of Engineering Jan 2013 – Jan 2019 | Santa Cruz , CA My thesis centered on the study of the behaviors, interactions, influences, and changes that individuals of certain social roles go through in an online community. This encompasses four main areas of research. ◊ Distinguishing member and leader roles One major distinction within communities is between leaders and members. My work is continuing on the already existing literature of online social roles through examining social roles within enterprise communities. Through a mixed method approach of analyzing content and behaviors of self defined roles, I have been able to develop models in order to distinguish such roles. ◊ Ecology of Social Roles Social roles typically are defined in relational terms, with this in mind it is needed to understand the social influence that roles have on each other. This work is expanding upon simple role differences by examining a community as an ecology through social network analysis and graphical modeling. Two approaches my work is taking is that of user-community interaction and smaller dyadic interactions between two users. ◊ Success of Social Role Behaviors Social roles typically are defined in relational terms, with this in mind it is needed to understand the social influence that roles have on each other. This work is expanding upon simple role differences by examining a community as an ecology through social network analysis and graphical modeling. Two approaches my work is taking is that of user-community interaction and smaller dyadic interactions between two users. ◊ Role dynamics over time There is has been much literature on the changes of roles and communities over time, however little quantitative evidence has been provided. My final goal of my thesis is to understand social role changes over time and how member-leader responsibilities are fluid through the life-cycle of a community. ### Data Scientist Intern @ Humanyze Jan 2018 – Jan 2018 | Palo Alto, CA Developed metric to measure repetitive communication within work teams to highlight productive communication behaviors. Utilized statistical and machine learning methods to identify the usability for customers. ### Data Scientist Intern @ Humanyze Jan 2018 – Jan 2018 | Palo Alto, CA Explored impact of sub-network types to team performance within enterprise email networks. Identified low performing group behavior through graphical, statistical, and time series methods. ### Intern Technical PhD @ eBay Jan 2017 – Jan 2017 | San Jose, California Incorporated Progressive Web App features in the design prototype environment used within the Design, Research, and Strategy team. Designed and conducted 2-part study into the impact progressive web app features have on the user experience. ### Intern Technical PhD @ eBay Jan 2016 – Jan 2016 Built automated user tracking system for user studies within Design, Research and Strategy team. Conducted pilot study to showcase the value quantitative methods have to understanding user experience in web apps. ### Contributing Member @ Stanford University Jan 2015 – Jan 2016 Contributing Member to a world wide group of researchers within the Stanford Crowd Research Collective led by Michael Bernstein. -Collaboratively designed, built, and tested Boomerang, a reputation system designed to more accurately represent true beliefs of workers and requesters within crowd marketplaces -Collaborated on designing a leadership organization within crowd marketplaces to represent workers and requesters and address concerns of the community ### Undergraduate Researcher @ Department of Computer Science at The University of Arizona Jan 2013 – Jan 2013 Researching Router Driver Software for Router Optimization ### Undergraduate Researcher @ Department of Computer Science at The University of Arizona Jan 2012 – Jan 2012 Building UI for use of citizen science model to gather ant path observations. ### Undergraduate Researcher @ The University of Arizona Psychology Department Jan 2011 – Jan 2012 Testing differences within rat sexes' ability to optimize within an open field containing traveling salesman-like properties and various influences ### Research Assistant @ The University of Arizona Psychology Department Jan 2010 – Jan 2011 Observing human subject behavior and coding position through Eshkol Wachman Movement Notation ### Undergraduate Researcher @ The University of Arizona Psychology Department Jan 2010 – Jan 2011 Testing possible semantic suppression of visual objects under binocular rivalry ## Education ### Doctor of Philosophy (PhD) in Computer Science Baskin Engineering at UCSC ### Bachelor of Science (BS) in Psychology and Computer Science University of Arizona ### Bachelor of Arts (B.A.) in Sociology University of Arizona ## Contact & Social - LinkedIn: https://linkedin.com/in/ryanjamescompton - Portfolio: http://users.soe.ucsc.edu/~rcompton --- Source: https://flows.cv/ryancompton JSON Resume: https://flows.cv/ryancompton/resume.json Last updated: 2026-04-10