Thomas Jaensch
Machine Learning Engineer at Booz Allen Hamilton
Mount Rainier, Maryland, United States
Summary
👤
Senior🎓
Top SchoolThomas Jaensch is a machine learning engineer with 11 years of software and data engineering experience, currently supporting ML and analytics workloads in Databricks/Azure at Booz Allen Hamilton. He has a strong cloud-native background across Azure, AWS, and GCP—deploying everything from Deep Learning chest x‑ray applications to AlphaFold on GPU instances—and routinely turns research models into production-capable workflows. His work spans data engineering, full‑stack development, and operational tooling for federal clients (CDC, NIH, FDA, NOAA), demonstrating an ability to bridge legacy systems and modern ML platforms. Comfortable with Spark, Spark NLP, Docker, Kubernetes/Fargate patterns, and orchestration services, he focuses on reproducible, documented pipelines and customer-facing demos. Trained originally in humanities (MA, University of Stuttgart), he brings a communicator’s clarity to complex technical problems and a knack for unearthing practical value from siloed research projects.
11 years of coding experience
6 years of employment as a software developer
Master's Degree, English Language and Literature, General, Master's Degree, English Language and Literature, General at University of Stuttgart
English, German, French
Stackoverflow
11reputation
2kreached
1answer
1question
Github Skills (62)
perl10
maven10
upstream9
gitbook9
dbt-packages9
streamlit8
dbt8
analytics-engineering8
golang8
programming-language7
asciidoc7
linux7
go7
network7
command-line-tool6
Programming languages (12)
Github contributions (5)
tjaensch/currency
Sep 2015 - Oct 2018
Contributions:5 commits, 4 pushes, 1 branch in 3 years 1 month
tjaensch/tjaensch.github.io
Apr 2015 - Jan 2023
Contributions:87 commits, 96 pushes, 1 branch in 7 years 9 months
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