LanceDB, Ultralytics, and Weights & Biases, in that order.
LanceDB
2023 – present · founding ML engineer
Designed and built the retrieval experience in
LanceDB: reranking, hybrid
search, and multivector retrieval.
Drove the ecosystem integrations that put the product where developers already
build: native Lance support on the Hugging Face Hub, LlamaIndex, LangChain,
AutoGen, and the rest of the RAG and agent stack, plus
public demos searching everything
from all of Wikipedia to a billion-document web corpus, and
Semantic.art, which finds artworks by mood
and description rather than by title or artist.
Co-authored the Ultralytics
framework itself, which became the world's most popular open-source computer
vision framework, with 60,000+ GitHub stars. Most of my 17,000+ academic
citations come from the papers and software releases I co-authored there.
Led the community and business development work that produced the company's
first revenue from open source.
Weights & Biases
2019 – 2022 · led the open-source integrations & partnerships channel
Created the open-source integrations and partnerships channel and made W&B
native inside the tools the ML world already used:
Hugging Face
Transformers, spaCy, YOLOv5, Catalyst, ESPnet, and more. It became the
company's biggest source of new users.
Wrote tutorials on scaling hyperparameter optimization and pipeline versioning,
including for Towards
Data Science.
Speaker bio
For event organizers, ready to copy:
Ayush Chaurasia builds AI products for
developers and researchers and does independent research in multimodal
learning and world models. He is the founding ML engineer at LanceDB, previously led
the ML team at Ultralytics, and built and led the open-source integrations and
partnerships channel at Weights & Biases. His co-authored papers and software
releases have received more than 17,000 academic citations. He speaks about
retrieval, multimodal systems, and building developer products.