Adam Lewis is a Senior Software Engineer and Ph.D. data scientist based in Austin with nine years of experience building large-scale data and ML systems using Python, Dask, Kubernetes, and cloud infrastructure. He has driven production-grade workflow automation and ETL for Fortune 500 and private equity clients—designing Argo/Dask pipelines that run tens of thousands of tasks per day and reducing manual work via OCR and clustering of multi-terabyte datasets. As a core contributor to open-source data science platforms (Nebari, Qhub) he bridges research-grade analytics and pragmatic engineering, and he’s built RAG-based LLM tooling for a major hedge fund. Outside client work he prototypes consumer apps and scraping/Prefect pipelines, demonstrating a habit of shipping end-to-end solutions from mobile Flutter apps to cloud-hosted data pipelines. His background in chemical engineering and multimodal imaging gives him an uncommon edge in extracting signal from noisy experimental data and mentoring cross-disciplinary teams.
9 years of coding experience
7 years of employment as a software developer
Chemical Engineering Big Data Imaging Analysis, Chemical Engineering Big Data Imaging Analysis at The University of Texas at Austin
Data Science Certificate Data Science, Data Science Certificate Data Science at The Data Incubator
Bachelor of Science (B.S.) Chemical Engineering cum laude, Bachelor of Science (B.S.) Chemical Engineering cum laude at Brigham Young University
A WIP kubernetes admission controller to control what workflows can be deployed by which users
Contributions:1 release, 4 reviews, 2 pushes in 1 year 6 months
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Adam Lewis - Senior Software Engineer at OpenTeams