David Wendt
Software Engineer at GLMX - Access, Automate, Analyze
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDavid Wendt is a software engineer at GLMX with eight years of experience bridging advanced research and industry software development. A Stanford MS in Computer Science (and BS in Physics) underpins his work on vision-transformer-based counterfactual world models and production-focused tooling, reflecting strengths in machine learning, Python, and C++ for scientific workloads. His background includes quantitative signal extraction for fixed-income trading and diverse research roles—from quantum circuit theory to gravitational-wave modeling—demonstrating an ability to move between theoretical analysis and practical implementation. Based in New York, he combines strong numerical intuition with hands-on systems-building to extract actionable insights from complex data. Notably, he pairs rigorous academic training with startup-style product delivery, making him adept at shipping research-driven features into production environments.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, Valedictorian, High School Diploma, Valedictorian at Island Trees High SchoolMaster of Science - MS, Computer Science, 4.172 GPA, Master of Science - MS, Computer Science, 4.172 GPA at Stanford UniversityProgramming languages (1)
Github contributions (5)
d-pr/portfolio_site
Feb 2021 - Sep 2021
Contributions:43 pushes, 1 branch in 7 months
d-pr/spoon_theory
Jan 2022 - Jan 2022
Contributions:9 pushes, 1 branch in 1 day
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