Tyler Hughes
Head Of Photonics at Flexcompute
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTyler Hughes is Head of Photonics at Flexcompute with 11 years of experience bridging applied physics research and production-grade electromagnetic simulation software. He holds a PhD in Applied Physics from Stanford and has driven development of the hardware-accelerated FDTD solver Tidy3D and its Python client, leading adjoint optimization and inverse-design efforts for photonics. As a long-term consultant in Prof. Shanhui Fan’s group he translated cutting-edge optics research into high-performance tools and invented a method for training photonic neural networks using a physical backpropagation implementation. Earlier work includes machine learning contributions to the widely used open-source Rasa NLU project, where he improved entity extraction and regex-based features—an unusual cross-disciplinary thread that informs his optics-meets-ML approach. Based in New York, he combines deep electromagnetic theory, simulation expertise, and practical software engineering to deliver scalable, research-driven photonics products.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS), Physics, 3.82, Bachelor of Science (BS), Physics, 3.82 at University of MichiganDoctor of Philosophy (Ph.D.), Applied Physics, Doctor of Philosophy (Ph.D.), Applied Physics at Stanford University
Chinese, English, Spanish
Stackoverflow
504reputation
39kreached
9answers
9questions
Github Skills (18)
entity-extraction10
python10
nlu10
machine-learning10
regex10
rasa10
nlp10
testing9
test-automation9
github8
backup6
tensorflow6
linear-algebra6
plotly6
backpropagation6
Programming languages (6)
Github contributions (5)
RasaHQ/rasa
Jun 2018 - Sep 2018
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
ML Engineer
ML EngineerContributions:97 commits, 13 PRs, 60 pushes in 2 months
Contributions summary:Tyler's contributions primarily focused on enhancing the entity extraction capabilities of the Rasa NLU framework, specifically within the CRFEntityExtractor and RegexFeaturizer components. They implemented features for utilizing regular expressions, improved the handling of lookup tables, and addressed issues related to tokenization and test accuracy. The user's work also involved modifying documentation to reflect the changes and additions to the pipeline.
nlupythonbotspeech-recognitionbotkit
twhughes/CompressedSensing
Feb 2015 - Oct 2017
Contributions:11 commits, 9 pushes in 2 years 9 months
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