Gary Engler
Staff Machine Learning Engineer at Engler Labs
Hoboken, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolGary Engler is a Staff Machine Learning Engineer and founder with a PhD in Applied Mathematics and a decade of experience turning research-grade ideas into production conversational AI and NLP systems across startups, financial services, and big tech. He has a strong track record in rapid prototyping and 0→1 builds, having led R&D teams that shipped ASR, speaker recognition, knowledge engines, and multi-lingual conversational agents. A former adjunct professor, he blends deep theoretical expertise (stochastic systems, GPU computing) with practical engineering—bridging C++/GPU tooling and modern ML stacks to optimize real-world product engagement. At Meta and in consulting for financial clients he delivered applied research features and ML-driven automation (OCR, code analysis, UX analytics) that moved products forward quickly. Based in Hoboken, he now runs Engler Labs while leading ML work at Headway, combining entrepreneurial curiosity with structured academic rigor.
9 years of coding experience
8 years of employment as a software developer
Master of Arts (M.A.), Mathematics, Master of Arts (M.A.), Mathematics at The City College of New YorkDoctor of Philosophy (PhD), Mathematical Sciences, Doctor of Philosophy (PhD), Mathematical Sciences at Stevens Institute of TechnologyBachelor of Science, Mathematics, Bachelor of Science, Mathematics at William Paterson University of New Jersey
Github Skills (14)
cudnn7
finance7
gpu-programming6
cuda6
gpu6
machine-learning4
machine-learning-algorithms4
python4
dataset-generation3
data-science3
gpu-acceleration3
segmentation2
leaf2
coco1
Programming languages (2)
Github contributions (5)
gengler1123/Cpp-For-Finance
Oct 2016 - Apr 2017
Contributions:93 commits, 50 pushes, 1 branch in 6 months
gengler1123/GPU-Computing-For-Finance
Dec 2016 - Jun 2018
Repository for GPU Computing for Finance
Contributions:72 commits, 2 PRs, 32 pushes in 1 year 5 months
cudagpu-programminggpu-accelerationgpucudnn
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