Dallas Pool
Lead Generative AI Engineer
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolDallas Pool is a Lead Generative AI Engineer in Austin with 17 years of experience building and guiding ML-driven products from startup labs to enterprise operations. He blends hands-on systems and backend engineering with leadership roles—shaping teams, product direction, and reliability across companies like TRACTIAN, TrustRadius, and BTC Media. Dallas applies cutting-edge generative engineering to industrial uptime and has practical reinforcement-learning experience from contributions to tensortrade, improving simulated exchange accuracy and data pipelines. He has run engineering organizations as CTO and director while consulting to help companies integrate ML, automation, and data-driven workflows. Known for “teaching rocks to think,” he pairs a hacker’s curiosity (and a side interest in crypto) with discipline in deploying production-grade AI.
16 years of coding experience
15 years of employment as a software developer
Computer Science, Computer Science at Texas State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
pandas10
trading-algorithms10
python10
back-end-development10
feature-engineering9
api8
reinforcement-learning8
api-design8
machine-learning7
data-science6
Programming languages (11)
Github contributions (5)
tensortrade-org/tensortrade
Oct 2019 - Oct 2019
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 7 PRs, 20 pushes in 19 days
Contributions summary:Dallas primarily contributed to the `tensortrade` repository by modifying the simulated exchange module. They focused on enhancing the `SimulatedExchange` class, including features like price retrieval and data frame management. The changes involved updating the feature pipeline integration, fixing price calculations, and addressing data frame handling issues. The user also addressed whitespace and merging issues, further refining the exchange's functionality.
deployingraybacktesting-trading-strategiesreinforcement-learningagents
codeninja/tensortrade
Oct 2019 - Feb 2020
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Contributions:35 commits, 12 PRs, 27 pushes in 4 months
deployingreinforcement-learningagentstradingtraining
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