Siddhant Arora
Research Scientist at Meta
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolSiddhant Arora is a research scientist and PhD candidate in Language Technologies at Carnegie Mellon University with eight years of experience specializing in speech processing, spoken language understanding, and dialogue systems. He has interned and collaborated with industry leaders including Apple, IBM, and Meta—where he now works on speech systems for wearable devices—bridging cutting-edge research and production engineering. His open-source contributions include MLOps work for the prominent ESPnet toolkit, automating model uploads to the Hugging Face Hub and fixing tricky edge-case bugs to streamline model sharing. Siddhant combines strong academic training (IIT Delhi dual degree and CMU graduate studies) with hands-on system-building across streaming ASR, audio foundation models, and dialog research, and he often focuses on making research reproducible and deployable.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Doctor of Philosophy - PhD, Language Technologies, Doctor of Philosophy - PhD, Language Technologies at Carnegie Mellon University
Github Skills (18)
continuous-deployment10
python10
scripting10
huggingface-hub10
ml-deployment10
script10
huggingface10
sh10
shell10
cicd9
zoo9
machine-learning8
pytorch8
automatic-speech-recognition7
voice-recognition7
Programming languages (3)
Github contributions (5)
espnet/espnet
Jun 2021 - Jun 2022
End-to-End Speech Processing Toolkit
Role in this project:
MLOps Engineer
MLOps EngineerContributions:118 reviews, 94 commits, 44 PRs in 1 year
Contributions summary:Siddhant primarily focused on porting existing pre-trained models to the Hugging Face Hub. This involved creating scripts to upload models from Zenodo, generating README files, and automating the creation of Hugging Face repositories for the ESPnet models. They addressed a bug related to special characters in model names and implemented changes to upload models to the ESPnet organization, effectively streamlining the model deployment and sharing process.
speech-recognitionspeech-separationchainerspoken-language-understandingspeech-processing
siddhu001/espnet
Jun 2021 - Mar 2025
End-to-End Speech Processing Toolkit
Contributions:1 review, 4 PRs, 442 pushes in 3 years 9 months
end-to-endspeech-to-textspeech-recognitionspeech-synthesisspeech
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.