Alexander Watson
Senior Director AI Software And Synthetic Data
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Watson is a Senior Director of AI Software and Synthetic Data with 12 years of experience building privacy-forward data and security products, currently leading NVIDIA’s efforts after his startup Gretel.ai was acquired. A repeat founder and executive (Harvest.ai, Gretel.ai) with deep experience at AWS driving Macie, he combines product leadership with hands-on ML engineering and operational security expertise. He has a track record of shipping mission-critical systems for defense and enterprise— from tactical cellular networks and threat research to scalable data protection services. An active contributor to ML research codebases (improving training, memory use, and PyTorch compatibility in projects like the Facebook end-to-end negotiator), he blends open-source pragmatism with commercial productization. Based in San Diego, he holds an M.S. in Computer Engineering from Johns Hopkins and often applies adversarial, red-team thinking to build resilient, privacy-preserving developer tooling.
12 years of coding experience
12 years of employment as a software developer
Johns Hopkins UniversityB.S. Computer Science, B.S. Computer Science at Indiana University Bloomington
Stackoverflow
1reputation
0reached
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Github Skills (12)
pytorch10
machine-learning10
deep-learning10
python10
nlp9
debug8
debugging8
optimization8
optimisation8
performance-optimization8
optmization8
tensorflow4
Programming languages (5)
Github contributions (5)
facebookresearch/end-to-end-negotiator
Aug 2018 - Aug 2018
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Role in this project:
ML Engineer
ML EngineerContributions:24 commits, 1 PR in 1 day
Contributions summary:Alexander primarily focused on improving the training and model aspects of the end-to-end negotiation dialogue system. They implemented logging enhancements for better training monitoring and debugging. The user addressed several deprecation warnings related to PyTorch functions, indicating a focus on maintaining compatibility and optimizing the code for efficient execution. Additionally, they modified the model to explicitly define softmax dimensions and manage memory usage.
pytorchnlpdealend-to-enddeep-learning
zredlined/control-my-mekamon
Jan 2019 - May 2019
API and Client to enable programmatic and keyboard control of a Mekamon Robot
Contributions:52 commits, 10 PRs, 37 pushes in 3 months
apipythonprogrammaticrobotkeyboard-control
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