István Fehérvári
Senior Staff Machine Learning Engineer at Stealth Startup
North Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolIstván Fehérvári is a Senior Staff Machine Learning Engineer and AI scientist with two decades of experience building production-grade generative models and ML platforms for both tech giants and startups. He blends hands-on engineering—contributing bug fixes and new operators to prominent open-source projects like Apache MXNet and GluonCV—with strategic leadership, having led teams up to 40 people and advised C-level executives on AI adoption. His work spans custom V-LLMs, diffusion models, and large-scale ML systems deployed across e-commerce and enterprise, and he holds a PhD focused on neural networks and reinforcement learning. An Emmy Award winner and multi-patent holder, he has published at CVPR, NeurIPS and WACV and repeatedly bridges research and product to ship tangible impact. Based in North Vancouver, he also co-founded a generative AI startup and maintains a pragmatic commitment to shipping robust, well-tested code. A pattern-finder by training, he often translates complex probabilistic and RL concepts into scalable engineering solutions.
10 years of coding experience
16 years of employment as a software developer
MSc Integrated Engineering, MSc Integrated Engineering at Budapest University of Technology and EconomicsMathematics, Mathematics at Teleki Blanka GimnáziumPhD Computer Science, PhD Computer Science at Universität KlagenfurtComplex Systems, Complex Systems at New England Complex Systems Institute
English, German, Hungarian
Github Skills (34)
ios10
python10
operation10
tensorrt10
mxnet10
machine-learning10
gluon10
ui-design10
numpy10
uid10
deeplearning-ai10
deep-learning10
api10
tensorflow10
front-end-development10
Programming languages (8)
Github contributions (5)
HearthSim/HSTracker
Aug 2016 - Feb 2019
A deck tracker and deck manager for Hearthstone on macOS
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:16 releases, 276 commits, 48 PRs in 2 years 6 months
Contributions summary:István implemented and integrated a deck importer feature from hearthstonetopdeck.com, adding functionality for users to import decks directly into the Hearthstone tracker application. This involved creating new UI elements for the importer, handling potential import errors with localized messages, and integrating the importer with the application's database for managing imported cards. The user also made various code adjustments to the application's database, importer and UI components.
decktrackertilesethearthstonedeck-manager
apache/mxnet
May 2018 - Mar 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:ML Engineer
ML EngineerContributions:9 commits, 13 PRs, 56 comments in 10 months
Contributions summary:István primarily focused on improving the `mxnet` deep learning framework, specifically addressing bugs in existing modules and implementing new functionalities. Their work included fixing a division-by-zero bug in the `DistanceWeightedSampling` example and enhancing the `ColorNormalizeAug` image augmentation function. Additionally, the user added the `diag()` operator to the framework and generalized the `broadcast_like` operator, contributing to the expansion and refinement of the library's capabilities.
pythonschedulerdataflowmutationdata-science
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