Vijay Peddinti
Founder at Stealth AI Startup
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolVijay Peddinti is a founder and machine learning researcher with 12 years of experience building robust speech and ML systems across top labs and tech companies in the San Francisco Bay Area. His career spans research roles at Google and Apple, a PhD focus on robust speech recognition at Johns Hopkins, and internships at Microsoft Research and IBM, reflecting deep expertise in audio, signal processing, and applied ML. He contributed core back-end improvements to the widely used Kaldi speech toolkit—adding and testing a LinearCgd optimizer for sparse matrices—demonstrating hands-on impact on open-source infrastructure. Now leading a stealth AI startup after a stint at Hippocratic AI, he blends academic rigor with product-minded engineering to ship research into production. Known for solving subtle numerical and system-level challenges, he pairs algorithmic depth with practical implementation experience across research and industry settings.
11 years of coding experience
10 years of employment as a software developer
Vikas Junior CollegeJohns Hopkins UniversityMS by Research Computer Science and Engineering, MS by Research Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)Bachelor of Technology (B.Tech.) Information and Communication Technology, Bachelor of Technology (B.Tech.) Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
Github Skills (5)
c-language10
cprogramming-language10
linear-algebra10
speech-recognition9
cuda8
Programming languages (3)
Github contributions (5)
kaldi-asr/kaldi
Jul 2015 - Oct 2019
kaldi-asr/kaldi is the official location of the Kaldi project.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:235 PRs, 45 pushes, 3 branches in 4 years 3 months
Contributions summary:Vijay's commits focused on adding and debugging the `LinearCgd` method, a technique for optimizing sparse matrices, within the Kaldi project. The changes involved adding unit tests for the new method, and modifying existing test files to include tests for the implementation. This indicates the user's contributions were primarily focused on improving the core functionality of the library.
cudakaldiasrspeech-to-textkaldi-asr
vijayaditya/kaldi
Oct 2015 - Jul 2017
This is now the official location of the Kaldi project.
Contributions:114 commits, 4 PRs, 4505 pushes in 1 year 9 months
kaldilocation
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