Daniel Pressel
Vice President, Digital Solutions Corporate Growth Division
Denver, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Pressel is a seasoned technology leader with 11 years in software and systems engineering and a decade-plus trajectory from US Navy IT enlisted ranks to Vice President of Digital Solutions at General Dynamics Information Technology. He leads corporate solution portfolio strategy, innovation labs, and technical communities while previously architecting and winning hundreds of millions in defense contracts as a chief solutions architect. Hands-on background includes leading .NET engineering teams for EUCOM/AFRICOM and contributing machine learning work—such as age/gender detection model improvements and TensorFlow upgrades—demonstrating both practical coding chops and ML curiosity. Based in Denver, he blends disciplined military roots with enterprise-scale technical stewardship, thriving at the intersection of capture strategy, architecture, and product incubation. Notably, he was recognized as a 2018 Young AFCEA 40 Under 40 awardee, reflecting early career impact and peer-recognized leadership.
11 years of coding experience
12 years of employment as a software developer
United States Navy
Github Skills (5)
computer-vision10
tensorflow10
python10
image-processing10
machine-learning9
Programming languages (8)
Github contributions (5)
dpressel/rude-carnie
Nov 2016 - Sep 2021
Age detection in Tensorflow
Role in this project:
ML Engineer
ML EngineerContributions:38 commits, 5 PRs, 46 pushes in 4 years 11 months
Contributions summary:Daniel focused on improving the age and gender detection model. Their contributions included adapting the code to support TensorFlow 0.12.0, adding batch input and output functionalities, and modifying the image processing pipeline for multi-crop analysis. Furthermore, they made updates to the model's evaluation process, and upgraded the project to TensorFlow 1.0.0.
age-detectiontensorflowage-classificationface
mead-ml/mead-baseline
Apr 2016 - Sep 2022
Deep-Learning Model Exploration and Development for NLP
Contributions:3 releases, 16 reviews, 1741 commits in 6 years 6 months
deep-learningnatural-language-processingnlppytorchtensorflow
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