Machine Learning Engineer, Occipital

San Francisco, CA Feb 2019 - Nov 2019

  • Built tools for evaluating deep learning models for 3D room reconstruction
  • llaborated with other team members on deep learning projects in weekly syncs
  • Co-wrote data labeling pipeline backend in python Django framework
  • Built and maintained tools to generate 3D mesh and extract camera and other SLAMrelated information for machine learning datasets
  • Optimized depth inference deep learning model with OpenVINO tools and integrated in SLAM pipeline
  • Studied model optimization tools for weight quantization and model compression
  • Organized deep learning paper reading group at Occipital between multiple offices across time zones
  • Part of team working on Occipital-SCS submission to ScanNet Benchmark on 3D semantic instance benchmark
  • Was reviewer for NeurIPS 2019

Research Engineer, Ditto Technologies

San Francisco, CA Oct 2015 - Jan 2019

  • Built face measurement tool with transfer learned neural network
  • Investigated autoencoder for 3D models of glasses
  • Trained and evaluated the viability of an iris detector using HOG
  • Designed and implemented algorithms for product recommendation engine
  • Implemented DittoIQ product web API in python Django framework

Software Engineer, Cognitive Networks

San Francisco, CA Oct 2012 - Sep 2015

  • Designed and built distributed data pipeline for processing and storing television content viewing logs
  • Built data viewership delivery pipeline to data customers and partners
  • Built microservice worker pipelines to enrich viewership data from third party sources
  • Built tools for technical operations to support and test data product services