Dogan Can
Founder at Stealth AI Startup
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDogan Can is a founder and technical leader with over a decade of hands-on experience building speech and multimodal ML systems, backed by a PhD in computer science from USC. He led cross-functional teams at Apple to deliver the company’s first on-device end-to-end ASR system and architecture for production-grade multimodal LLMs, overseeing the full ML stack from data to on-device inference. A pragmatic researcher who moves models into products, he also contributes to foundational open-source speech tooling—helping maintain the pykaldi Python wrapper and fixing compatibility and compiler issues in the core Kaldi ASR codebase. Based in Los Angeles, he blends deep academic training with product-focused engineering and startup grit as he scales a stealth AI venture.
12 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Southern CaliforniaElectrical Engineering, Electrical Engineering at Rensselaer Polytechnic InstituteMaster of Science (M.S.) Electrical and Electronics Engineering, Master of Science (M.S.) Electrical and Electronics Engineering at Boğaziçi University
Github Skills (10)
compiler-optimization10
debugging10
debug10
gnu-make10
build-system10
c-language10
cmake10
cprogramming-language10
python10
makefile10
Programming languages (4)
Github contributions (5)
pykaldi/pykaldi
Jun 2017 - Apr 2019
A Python wrapper for Kaldi
Role in this project:
Back-end Developer
Back-end DeveloperContributions:361 commits, 14 PRs, 177 pushes in 1 year 9 months
Contributions summary:Dogan was primarily focused on the development and maintenance of the pykaldi Python wrapper, specifically concentrating on build system updates and incorporating build scripts. The contributions included modifications to the setup.py file, fixing build issues, and improvements to build scripts. These changes indicate a focus on ensuring the software is correctly built and integrated with its dependencies.
kaldilanguage-modelpythonasrfeature-extraction
kaldi-asr/kaldi
May 2015 - Mar 2019
kaldi-asr/kaldi is the official location of the Kaldi project.
Role in this project:Back-end Developer
Back-end DeveloperContributions:34 PRs, 205 comments, 3 issues in 3 years 11 months
Contributions summary:Dogan primarily contributed to bug fixes and code improvements within the Kaldi project, specifically addressing compiler errors and code issues related to various functionalities. Their work involved adding flags to compiler settings to address compilation issues, replacing variable-length arrays with standard vectors to improve code compatibility, and correcting constructor initialization errors. The user also addressed issues related to the use of type qualifiers and deprecated declarations to ensure better code compliance, indicating a focus on code quality and compatibility.
cudakaldiasrspeech-to-textkaldi-asr
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