Experience

Rainbow

• United States
• Insurance
• 1 - 100 Employee

• Head of Technology, Co-Founder

  • Jan 2022 - 2 years

  San Francisco, California, United States We're building a new tech-enabled insurance product for small business owners. We help them get their coverage they need, priced accurately to their risk with the help of AI, and through a painless experience that takes a fraction of the time to complete.



Caply

• CTO, Co-Founder

  • Jan 2020 - Apr 2021

  Capsule is a tool that lets teams create interactive byte-size recordings of their web app that they can send to their users, or put on their website. It enables teams to showcase their app, and it helps make the value of the product clear to customers. We built a piece of software that can record the HTML and the HTML changes and replay them in a seamless way to imitate a web app's behavior without communicating to the backend. It enabled teams to set up this product without any… Show more Capsule is a tool that lets teams create interactive byte-size recordings of their web app that they can send to their users, or put on their website. It enables teams to showcase their app, and it helps make the value of the product clear to customers. We built a piece of software that can record the HTML and the HTML changes and replay them in a seamless way to imitate a web app's behavior without communicating to the backend. It enabled teams to set up this product without any technical integration. Try it out at https://caply.app Show less



Inokyo

• United States
• Software Development
• 1 - 100 Employee

• Machine Learning Engineer

  • May 2019 - Dec 2019

  San Francisco Bay Area Second hire at the company: a start-up working in the cashier-less store space. Built object-detection models for classifying human interactions with shelves. Worked with the team to build the pipeline to clean-up and process the raw data for the models. Championed the move to Docker and later Kubernetes to massively improve latency and throughput, making the entire system more scale-able.



Machine Learning Department at CMU

• United States
• Research Services
• 1 - 100 Employee

• Research Assistant - Bayesian Optimization

  • Aug 2016 - May 2019

  Pittsburgh Implemented a Bayesian optimization framework that greatly reduced the cost of high dimensionality. Developed a fast approximation algorithm for inter-related groupings of dimensions in a high dimensional dataset.

• Research Assistant - Computer Vision

  • Aug 2016 - Dec 2016

  Developed convolutional neural networks in a research project lead by Professor Min Xu to develop a new method to recognize and segment different three-dimensional images of organelles using deep convolutional neural networks.



Facebook

• Software Development
• 700 & Above Employee

• Machine Learning Engineer

  • May 2016 - Aug 2018

  Menlo Park This role was 3 different internships over 3 summers: Collaborated across multiple teams in Facebook to build out improvements across all of Facebook’s existing spam classifiers by adding hundreds of new types of features. Developed a completely novel type of random forest spam classifier used to categorize a specific type spam from good content on the platform. Set up data pipelines using Python, PHP, SQL, and Haskell to train random forest classifiers and develop metrics to analyze… Show more This role was 3 different internships over 3 summers: Collaborated across multiple teams in Facebook to build out improvements across all of Facebook’s existing spam classifiers by adding hundreds of new types of features. Developed a completely novel type of random forest spam classifier used to categorize a specific type spam from good content on the platform. Set up data pipelines using Python, PHP, SQL, and Haskell to train random forest classifiers and develop metrics to analyze improvement. Show less