Career
Over the past 20 years, I've worked as a software engineer, manager, and executive, building some of the world's favorite consumer products like Uber, Uber Eats, and LinkedIn. I always loved technology and am a generalist at heart. I find immense joy taking a people-first approach to leading teams and crafting the right product and engineering solution across mobile, web, backend, and machine learning.
Below are a few select highlights career-wise, but please look at my LinkedIn profile for more details.
Engineering at Uber (2015 - present)
Part of Uber's engineering executive team. We drove guidance for scaling engineering systems, improving operational health, standardizing tooling, and scaling engineering culture for 4,500 engineers.
To capture many of my experiences and other key events throughout Uber's history, I wrote A Brief History of Scaling Uber.
For most of my time at Uber, I led the engineering team responsible for the core Uber Eats product. Uber Eats serviced over 7 billion orders during my tenure and was the largest food delivery platform across the globe (30+ countries).
Notable highlights at Uber and Uber Eats
- Led Uber's $2.7B Postmates acquisition and integration project involving over 400 engineers from across the company.
- Built out the Uber Eats machine learning and recommendations team, leading to numerous high impact changes to our home feed and search experience.
- Initiated the Uber Eats Pickup business ($XB ARR)
- Developed Uber's cross-platform strategy by adding the Uber Eats ordering experience directly within the main Uber app ($XXB ARR)
- Oversaw the rewrite of ubereats.com, the Uber Eats iOS and Android apps, and the Uber Merchant tablet app.
- Built food delivery industry's first integrations with the largest merchants in the world (McDonald's and Starbucks)
- Built Uber's Driver Acquisition engineering org. We enabled Uber to sign up over 7 million drivers to power the Uber marketplace.
Here's a collection of press articles and external posts for some of the work our team did.
Engineering at LinkedIn (2011 - 2015)
Part of LinkedIn's engineering executive team, which drove guidance for scaling engineering systems, improving operational health, standardizing tooling, and scaling engineering culture for 1,500 engineers.
To capture the story of all the key moments of LinkedIn's hypergrowth, I wrote "A Brief History of Scaling LinkedIn". This blog was received well, was translated into Chinese, French, and Russian, and was quoted in a number of publications. In particular, my section about how to scale engineering cultures (Project InVersion) was referenced in The DevOps Handbook and Wiring the Winning Organization.
Notable highlights at LinkedIn
- Executive leadership for the flagship LinkedIn app rewrite ("Project Voyager"). Regularly represented the entire effort to the board and CEO. Helped architect the API and payload design, guided the iOS mobile team, and led the "My Network" tab product team.
- Selected to build, scale, and lead the Higher Ed organization - a new venture bet to bring more students and Universities onto LinkedIn. We built many AI and ML powered data products like University Pages, Alumni Pages, School Rankings, and Notable Alumni.
- Overall lead for "Profile 2.0". This was an effort to rebuild LinkedIn's profile page and frontend tech stack (highest trafficked page at LinkedIn). Led a group of 35 core engineers and 100+ engineers from across the company.
- Co-owned and scaled LinkedIn's highly critical member profile DB to over 500K QPS
Engineering at Lockheed Martin (2005 - 2011)
Started my software career at Lockheed Martin. Throughout my 5+ years there, I was part of teams that built sensor and data fusion products. It was a more niche area at the time to support many defense projects. But now it is back in vogue with all the sensors on Teslas and other self-driving cars.
Notable highlights at Lockheed Martin
- Led the Distributed Fusion Manager (DFM) team for Lockheed's Level 1 tracking and data fusion product. This was part of the broader Future Combat Systems (FCS) contract. We not only had to solve fusion problems, but had to build a fault tolerant consensus distributed system in a mobile ad-hoc network (MANET).
- Core contributor to our best-in-class sensor and data fusion product (All Source Data Fusion System). Improved our data assignment (JVC), Kalman filter, bias correction, and other AI algorithms.
- Selected for and accepted into Lockheed's Engineering Leadership Development Program (ELDP), a 3-year program to identify and train emerging engineering leaders.