Justin Litchfield
Software Engineer at ProChain Capital
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJustin Litchfield is a seasoned software engineer and founder with 13+ years building scalable web and fintech products, currently splitting leadership between ProChain Capital (CTO) and Allen Control Systems. He holds a Ph.D. in chemistry from Stanford and pivoted from academic research to founding and scaling consumer-facing finance products—most notably launching the mobile bank bitPESO that originated nearly 10,000 loans. Justin combines hands-on engineering (front-end data visualizations for projects like OpenDota and ML trading work with PPO2/Optuna) with executive experience as CEO, CTO and VP Engineering across crypto, trading, and payments startups. He is passionate about machine learning and FinTech, with a track record of stabilizing high-throughput systems and translating complex domains into reliable, production-ready software. An atypical detail: his technical leadership is rooted in deep scientific training, which he leverages to architect rigorous testing, instrumentation, and data-driven decision making.
12 years of coding experience
12 years of employment as a software developer
The University of ArizonaThe University of UtahTexas A&M UniversityPh.D. Chemistry, Ph.D. Chemistry at Stanford University
English, Spanish, Russian
Github Skills (27)
javascript10
visualization10
python10
machine-learning10
redux10
reinforcement-learning10
recharts10
visualizations10
react10
optuna10
pandas9
data-visualizations9
ui-design9
data-visualisation9
data-visualization9
Programming languages (16)
Github contributions (5)
notadamking/RLTrader
Jun 2019 - Jun 2019
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 1 PR, 17 comments in 5 days
Contributions summary:Justin primarily contributed to the optimization and training of a reinforcement learning trading environment. They parameterized file paths for OS agnosticism and corrected file references. Furthermore, the user refactored the training and testing functionality by wrapping the optimization process into a class and improving logging for better tracking of trials. The contributions involved defining and training a PPO2 agent for a cryptocurrency trading environment using the Optuna framework.
reinforcement-learningdeep-reinforcement-learningtradingopenaimachine-learning
odota/web
Jun 2019 - Jul 2019
React web interface for the OpenDota platform
Role in this project:Front-end Developer
Front-end DeveloperContributions:14 commits, 1 PR, 9 comments in 3 days
Contributions summary:Justin primarily contributed to the front-end development of the OpenDota web interface. Their work focused on building and integrating data visualization components, specifically creating a graph to display lane statistics and implementing a sparkline visualization within a table. The user extracted graph-related code into a reusable component and refined the display of tooltips and overall data presentation. These efforts enhanced the match analysis features of the platform.
opendotareactdataweb-interfacejavascript
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