Experience

MoBagel

• United States
• Software Development
• 1 - 100 Employee

• Lead ML Engineer, 8ndpoint

  • May 2022 - Present

  Taipei City, Taiwan * Lead ML engineer: Designed and built an in-house feature store. Scaled machine learning infrastructure and operations to 10x data scientist productivity. Scaled cloud k8s / Airflow infrastructure to support ETL and machine learning workloads at minimal cost with high ease of use. Designed DS-friendly Docker flows integrated with said infrastructure. * Lead data scientist: Built ML models for e-commerce applications. Modeling R&D. Worked closely with product to identify monetizable ML… Show more * Lead ML engineer: Designed and built an in-house feature store. Scaled machine learning infrastructure and operations to 10x data scientist productivity. Scaled cloud k8s / Airflow infrastructure to support ETL and machine learning workloads at minimal cost with high ease of use. Designed DS-friendly Docker flows integrated with said infrastructure. * Lead data scientist: Built ML models for e-commerce applications. Modeling R&D. Worked closely with product to identify monetizable ML opportunities, and communicated technical metrics & results to stakeholders and clients. * Lead data engineer: Designed, built, and maintained data pipelines using streaming data, from ingestion to downstream machine learning and analytics / reporting usecases. Evaluated data QA solutions and built an in-house. Created oncall rotation and handed off maintenance / development / testing of data pipelines. * It's a startup, so I did a bit of everything - ML modeling, DevOps, MLOps, technical visioning, quarterly / annual planning, sprints, hiring, mentorship Show less



Block

• United States
• Financial Services
• 700 & Above Employee

• Senior Machine Learning Engineer

  • Apr 2019 - May 2022

  San Francisco, California, United States * Custom built models, signals, and metrics to combat fraud, scams, theft using trees / deep learning * Built ML infrastructure for risk evaluations at >7k QPS with <5 second SLAs * Developed / reported product feature metrics, led data-driven discussions that drove long-term strategy * Coordinated cross-functional, cross-team projects to ship new product and internal features



Insight Data Science

• United States
• Higher Education
• 1 - 100 Employee

• Postdoctoral Fellowship

  • Jan 2019 - Mar 2019

  San Francisco, CA • Created an app that estimates surf spot crowdedness • Performs fast, multi-object detection in real time video streams with 83% recall • Hand-labeled, cleaned, and modeled lossy, low quality real-world data • Trained / optimized / productionized a convolutional neural network from scratch



UC Santa Cruz Genomics Institute

• United States
• Research Services
• 1 - 100 Employee

• Graduate Student Researcher

  • Mar 2014 - Dec 2018

  Santa Cruz, CA



Genentech

• United States
• Biotechnology Research
• 700 & Above Employee

• Bioinformatics Intern

  • Jun 2014 - Sep 2014

  San Francisco Bay Area



Neale Lab

• Bioinformatics Research Assistant

  • Oct 2010 - Nov 2013

  Davis, CA