Shreekantha N
Senior AI Engineer at Dialpad
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolShreekantha N is a Senior AI Engineer specializing in speech and language technology with a decade of experience spanning industry and academic research. He holds an MS by Research in Speech Recognition from IIIT-Bangalore and has driven Dialpad’s efforts to scale next-generation speech products across new domains, dialects, and languages. Practically oriented, he contributes to prominent open-source tooling like espnet, refining training and recognition scripts and attention/CTC integrations to improve end-to-end ASR performance. His background blends hands-on model engineering with production deployment across geographies from Bengaluru to Toronto/Kitchener. Known for turning research-grade models into robust, multilingual systems, he quietly focuses on the often-overlooked engineering details—training orchestration and attention mechanics—that determine real-world transcription quality.
9 years of coding experience
8 years of employment as a software developer
Master of science by Research Speech Recognition, Master of science by Research Speech Recognition at International Institute of Information Technology BangaloreBachelor of Engineering - BE Telecommunications Engineering, Bachelor of Engineering - BE Telecommunications Engineering at J N N College of Engineering, SHIMOGAPre University Computer Science, Pre University Computer Science at Sri Vidyabharathi Pre-University College, ShimogaHigh School, High School at Sacred Heart High School Shimoga
Hindi, Kannada, English
Github Skills (18)
pytorch10
python10
machine-learning10
deep-learning10
speech-recognition10
command-line-interface9
bash9
command-line9
cli9
script9
speech-synthesis8
kaldi7
text-to-speech7
chainer6
voice-conversion5
Programming languages (4)
Github contributions (5)
espnet/espnet
Apr 2019 - Nov 2020
End-to-End Speech Processing Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 7 PRs, 21 comments in 1 year 6 months
Contributions summary:Shreekantha primarily contributes to the training and recognition aspects of the speech processing toolkit. They modified the training script (`run.sh`) to integrate features such as the ability to use different CTC implementations (built-in or warpctc). Code changes also include adjustments to the attention mechanism implementations, particularly regarding attention weight handling within the RNN layers. They are involved in managing and refining the core training scripts for the end-to-end speech processing models.
speech-recognitionspeech-separationchainerspoken-language-understandingspeech-processing
sknadig/lhotse
Jan 2021 - Jul 2023
Contributions:2 PRs, 1 push, 1 branch in 2 years 6 months
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