Vaibhav Srivastav
Developer Experience at OpenAI
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolVaibhav Srivastav is a developer experience leader based in London with 10 years of experience building ML tooling, community programs, and developer platforms across startups and enterprise firms. Currently leading Developer Experience and Community (EMEA) at OpenAI, he previously ran developer and platform initiatives at Hugging Face and shipped ML solutions at Deloitte, blending product-minded engineering with community growth. He contributes to open-source ML projects—helping integrate and deploy models like Mistral, Whisper and the Bark generative audio model via the Hugging Face Hub—reflecting a strong focus on model conversion, inference, and deployment. Trained in Computational Linguistics (MSc) and with hands-on consulting experience, he bridges research, production ML, and developer advocacy to make advanced models more accessible to practitioners. Despite joking about GPU scarcity, he repeatedly finds pragmatic engineering paths to ship models and developer experiences at scale.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at The NorthCap UniversityMaster of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Stuttgart
English, Hindi, German, French, Italian
Github Skills (11)
huggingface-hub10
machine-learning10
model-conversion10
huggingface10
inference10
python10
mistral9
whisper9
continuous-deployment8
ml-deployment8
deep-learning7
Programming languages (16)
Github contributions (5)
ml-explore/mlx-examples
Dec 2023 - Nov 2024
Examples in the MLX framework
Role in this project:
ML Engineer
ML EngineerContributions:10 reviews, 9 PRs, 19 comments in 11 months
Contributions summary:Vaibhav contributed to the MLX framework by adding and modifying code related to model conversion, inference, and deployment for various machine learning models, particularly in the areas of Mistral and Whisper. They focused on integrating models with the Hugging Face Hub, including adding upload and download functionalities, and fixing errors related to model loading and saving. Their work involved making changes to configuration files, conversion scripts, and core inference code.
mlx
suno-ai/bark
Apr 2023 - Apr 2023
🔊 Text-Prompted Generative Audio Model
Role in this project:ML Engineer
ML EngineerContributions:1 PR, 2 comments in 12 days
Contributions summary:Vaibhav primarily focused on updating the model repository paths for the Bark text-prompted generative audio model. Their contributions involved modifying the `generation.py` file to reflect changes in model storage locations, specifically transitioning from a direct URL to using Hugging Face Hub for model downloads. They updated the download function and file paths, indicating a focus on the model's deployment and accessibility. These changes enabled access to different model versions.
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.