I currently work at LandingAI as a Machine Learning Engineer
focusing on visual reasoning and agentic frameworks.
2017 –
LandingAI
- Led development of VisionAgent, an agentic framework for generating and executing visual AI pipelines (detection, segmentation, OCR, counting) from natural language prompts. A highly iterative PoC built in the early days of agents.
- Co-created Data-Centric AI methodology with Andrew Ng and Ivan Zhou; helped develop the core concepts and integrated them into our LandingLens platform where they were adopted by enterprise customers.
- Built and scaled the machine learning engineering team from day-one to 11 SWE/MLEs; owned hiring, technical direction, and core ML modeling and infrastructure for LandingLens.
2016 – 2019
Stanford
- Worked in Andrew Ng's lab with Pranav Rajpurkar and Jeremy Irvin on AI applications for medical imaging including MURA.
- Was a member of the first ML bootcamp led by Awni Hannun, Ziang Xie and Anand Avati. Worked on a variety of projects listed below in Selected Projects.
2015 – 2016
PitchBook
- Built company search and similarity systems using distributed word and entity embeddings.
- Developed CRF-based information extraction pipelines for private company news.
2014 – 2015
Society Consulting
- Developed integer linear programming software for supply chain optimization.
2010 – 2014
University of Washington
- Worked with Emily Fox, Nick Foti and Jason Xu on variational methods for hidden Markov models and code.
Publications
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
arXiv 2017
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, D Laird, R. L. Ball, C Langlotz, K Shpanskaya, M. P. Lungren, A. Y. Ng