Lewis Van Winkle
President at ATD INC.
Iowa, United States
Summary
🤩
Rockstar🎓
Top SchoolLewis Van Winkle is a seasoned software engineer and entrepreneur with over a decade of experience designing and delivering systems across machine learning, AI, finance, networks, and embedded telemetry. As President of ATD Inc. and former CTO at two companies, he blends hands-on C systems and build tooling work with product-level architecture for cellular and cryogenic telemetry. He contributed to notable C open-source projects such as a compact neural-net library (genann) and Tulip Indicators, demonstrating practical expertise in numerical algorithms, cross-compiler build systems, and technical-analysis implementations. A published author of Hands-On Network Programming with C and a Georgia Tech master's graduate in machine learning, he pairs deep academic credentials with real-world consulting readiness—frequently taking on tough, domain-specific engineering problems.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Machine Learning, 4.0, Master's degree, Computer Science, Machine Learning, 4.0 at Georgia Institute of TechnologyBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Western Governors University
Github Skills (18)
analyse10
c1110
c1710
backpropagation10
neural-network10
ansi10
build-system9
documentation8
documents8
cprogramming-language8
document-generation8
c-language8
testing8
algorithm7
algorithms7
Programming languages (5)
Github contributions (5)
codeplea/genann
Feb 2016 - Dec 2020
simple neural network library in ANSI C
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 40 commits, 12 PRs in 4 years 11 months
Contributions summary:Lewis contributed to the `genann` library, a simple neural network implementation in C. Their commits primarily focused on code enhancements, including adding C++ guards for compatibility, changing name cases and code style for consistency, and adding a linear activation function. They also made changes to the build process to work with both GCC and Clang, indicating involvement in build system maintenance. Furthermore, the user improved the testing by adding more training iterations.
ansisimple-neural-networktinygenetic-algorithmartificial-neural-networks
TulipCharts/tulipindicators
Dec 2016 - Feb 2022
Technical Analysis Indicator Function Library in C
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 50 commits, 51 PRs in 5 years 3 months
Contributions summary:Lewis made several contributions focused on improving and extending the functionality of the technical analysis indicator library. These changes include adding build options and creating a text list of indicators, which suggests a focus on build processes and documentation generation. Further modifications involved fixing compiler warnings and updating copyright information, pointing to code maintenance and project upkeep. Finally, the addition of the Stochastic RSI indicator demonstrates the user's ability to implement new technical analysis calculations.
analysisfunction-librarymagic-numbers
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