Apr 2025 – Present · 1 yr 2 mos · San Francisco, California, United States

• I invested in Peony Health because I believe habits are greatly impacted by neurochemistry and Susie Chen is a technical founder with business chops who will deliver on their mission

Nov 2023 – Present · 2 yrs 7 mos · San Francisco Bay Area

• I'm one of the new Bay Area chapter leads for Illuminate AI!
• I help make events better and build this community to the next level!

Mar 2023 – Present · 3 yrs 3 mos · San Francisco Bay Area · Remote

Dec 2022 – Present · 3 yrs 6 mos · San Francisco Bay Area

• I'm advising Mage on how to make a data engineering friendly Airflow competitor that will be the next generation of job orchestration!

Nov 2022 – Sep 2023 · 10 mos · San Francisco Bay Area

• I’ve invested in SylphAI because I’m passionate about building community in AI that helps everyone meet their growth goals and fulfill their potential

Feb 2021 – Mar 2023 · 2 yrs 1 mo · San Francisco Bay Area

• Changed Airbnb's availability definition from "did a host set a rule that blocked this night" to "can a trip be booked that contains this night"
• Consolidate the availability definition across the company. Saving >500 TBs in the cloud and shrinking the data set to 3% its old size.
• Decreased the landing time of Airbnb's unit economics dataset from 3 days to 1 1/2 days. Built a long-term roadmap to further increase the quality of this critical dataset.
• Improved the quality of online systems at Airbnb to be easily compilable by Spark pipelines to compute metrics offline.
• Lead a team of 6 engineers to deliver on the MIDAS initiative to increase the data quality of the Commercial Products org.
• Upleveled smart pricing at Airbnb by improving the feature engineering and latency of the data used to train the smart pricing model.

Mar 2020 – Feb 2021 · 11 mos · Various

• I took a year off.
• I spent 2 months in Puerto Rico the first two months of the pandemic swimming a mile most days in the ocean.
• I spent 3 months road-tripping and seeing all the national parks in the western US.
• I got over 100 wins in Call of Duty Warzone (top 1% of players)
• I adopted a Siberian Husky

Oct 2018 – Mar 2020 · 1 yr 5 mos

• Built a machine learning feedback system that allowed security engineers to label corporate user behavior as risky or not risky.
• Built Asset Inventory - a graph database solution that is a map of all of Netflix's cloud infrastructure.

Jun 2018 – Oct 2018 · 4 mos

• I built a pipeline that measures the cloud infrastructure impact on AB tests, saving Netflix millions by allowing them to make smarter AB test rollout decisions.

Aug 2016 – May 2018 · 1 yr 9 mos · Menlo Park, California

• Managed a 10 PB+ Hive data warehouse
• Consolidated and conformed company-wide growth metrics (across WhatsApp, Instagram, Messenger, and Facebook) into a single, company-wide view.
• Optimized machine learning feature set generation pipelines (200+ TB/day) from having a 4 day latency to having a 1 day latency. While also dropping compute costs for those pipelines 4x.
• Reduced core notification data set latencies from 36 hours to < 8 hours.
• Migrated 50% of notifications pipelines from using Hive to use Spark, Presto, or real-time streaming.
• Cut compute cost from notifications pipelines by 40% over the course of 9 months.

Apr 2016 – May 2018 · 2 yrs 1 mo · Greater Salt Lake City Area

• I run the technology show for a startup company I helped found called Red Pika Labs. The company tech stack is completely in JavaScript right now. Our first product, Art Lineup (https://www.artlineup.me) launched in March 2017 and has been getting better ever since then!
• Tech stack is:
• AngularJS frontend on web
• React Native frontend on mobile
• NodeJS backend
• Postgres Database

Jan 2016 – Aug 2016 · 7 mos · Washington D.C. Metro Area

• Microservices in Node.js and Docker
• RabbitMQ message broker
• Entity extraction and natural language processing with Apache Spark and 3rd party services
• Big data with Accumulo and Hadoop
• Modern front-end systems with Angular.js and data visualizations in D3.js

Jun 2015 – Jan 2016 · 7 mos · South Jordan, Utah

• Implement ETL processes in Hadoop
• build custom MapReduce jobs, Hive UDFs, and Pig UDFs
• design data warehousing approaches with Teradata
• data visualization with Tableau and D3.js
• create data streams using Apache Spark and Apache Storm

Oct 2014 – Jun 2015 · 8 mos · Draper, Utah

• Create data visualizations using Tableau
• Database management and migrations
• Data mining in Python
• Data analysis and management using SQL
• Setting up and managing graphical databases such as OrientDB and AllegroGraph
• Automate ETL processes using Pentaho and SQL

Jul 2014 – Oct 2014 · 3 mos · Draper, Utah

• Data visualization using Tableau and data analysis using SQL and R.

Jan 2013 – May 2014 · 1 yr 4 mos · Ogden, Utah

• Tutor math subjects varying from pre-algebra through ordinary differential equations.

May 2012 – Apr 2013 · 11 mos · Clinton, Utah, United States

• I stocked the grocery departments shelves.