Daniel Shank
Data Scientist And AI Engineer - Manager
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolDaniel Shank is a Data Scientist and AI Engineering manager with 11 years of experience building and shipping machine learning systems across startups and consulting engagements in the Greater Boston area. He has hands-on expertise in Python/R, TensorFlow/PyTorch, NLP tools like spaCy, and production model deployment pipelines—having implemented semantic search, content relevancy, and calibrated comprehension models in production. At Talla he prototyped cutting-edge architectures (transformers, neural Turing machines, memory networks) and delivered retraining and serving endpoints; more recently he leads AI initiatives at Capgemini. His background in economics and academic research gives him a strong foundation in causal thinking and rigorous evaluation, which he brings to product-focused model design. Pragmatic and curious, he combines research-grade experimentation with operational discipline to move prototypes into reliable, scalable services.
11 years of coding experience
7 years of employment as a software developer
BA in Economics with Honors Economics, BA in Economics with Honors Economics at University of Chicago
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
natural-language-processing9
fine-tuning9
python9
scikit-learn9
statistics9
benchmarking8
transfer-learning8
machine-learning8
data-analysis8
data-science8
conceptnet7
visualization7
bayesian5
bayesian-inference2
Programming languages (2)
Github contributions (5)
Concomitant/dRAGon
Jan 2024 - Apr 2026
A retrieve and generate assistant for tabletop RPGs
Contributions:9 reviews, 17 PRs, 18 pushes in 2 years 3 months
Concomitant/braid
Jan 2026 - Jul 2026
Contributions:3 pushes in 5 months
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