New York, United States
I turn hard problems into shipped systems.
Part of founding team. Solving research and applied AI engineering problems at scale. Engineering lead for deep learning/machine learning projects. Building custom LLMs, RL systems, computer vision models and production agent harnesses.
Led the engineering team and development of multi-agent systems and scalable microservices. Architected distributed LLM training pipelines, participated in product strategy, hired team members, and contributed to marketing. Helped raise 5M$ seed from Mayfield, Angels from Nvidia, Gitlab.
- Leading LanceDB Integrations with the world’s most popular tools: Building frameworks/libraries/packages for easy model loading, fast&efficient multimodal data storage, integration with lance, model training/ LLM fine-tuning and serving (including Multi-GPU distributed training) - growing existing partnerships and adding new ones (HuggingFace, LlamaIndex, Reor etc.) - Solving bugs for the open source version of our python library(lancedb). - Writing/Editing blogs,cookbooks, tutorials (https://medium.com/llamaindex-blog/multimodal-rag-for-advanced-video-processing-with-llamaindex-lancedb-33be4804822e)
Helped build LanceDB ML framework and its APIs/integrations along with its use cases in multimodal AI.
Early hire (5th in the AI team), Glance is backed by SoftBank, Mithril Capital and Google. I worked on large scale Machine Learning systems, serving 200million+ daily active users(DAU). My work involved building and deploying big data pipelines, training machine learning/deep learning models, architecting a/b tests and evaluations, prediction services and supporting backend engineering.
Conducted Research on video models, completed my thesis and supported development of ETL, built dashboards for stakeholders