• Co-founded team to reduce Robinhood’s high AWS spend and manage our cloud capacity. Per the 2021 Q1 earnings report, Robinhood spent $54M on Cloud infrastructure services over that 3 month period• Built cost observability and recommendation tools powered by PySpark data pipelines and Looker dashboards• Discovered and solved waste and performance issues across Robinhood’s entire stack.• Led the engineering organization to reduce Robinhood’s AWS TCO by 40% year over year. This was a significant factor in Robinhood reaching EBITDA profitability in 2022Q3.• Sustained our cost reduction by implementing team-level cost attribution and an org-wide cost accountability program.

• Directly contributed to or led the team through multiple reliability-focused initiatives, including Kafka cluster multi-AZ resiliency, chaos testing and the introduction of a producer sidecar proxy• Improved the observability, reliability and ergonomics of our internal Python Kafka client. Co-presented at Kafka Summit 2021• Scaled our critical path Kafka clusters through the January 2021 Gamestop traffic surge• Served in the on-call rotation and mitigated multiple SEV1 incidents• Spent the first 6 months as an individual contributor on the Software Platform team. Rolled out a Python HTTP client for enhanced call graph observability and built infrastructure to horizontally shard our core brokerage application (Terraform/SaltStack)

• Managed the transition from mutable, VM-based infrastructure to a PaaS built on Kubernetes• Grew the team from 6 to 12 engineers• Spent the first 3 months onboarding as a Backend Engineer. Projects included a major Django version upgrade for our core brokerage application and leading a mass migration off of a legacy Kafka clusterIn addition, I helped the firm grow in the following ways:• Co-founded our SEV Program, leading blameless weekly SEV Review meetings and quarterly SEV Retrospectives• Served as a member of the “Air Traffic Controller” (Incident Commander) on-call rotation• Led infrastructure due diligence and onboarding for the Say Technologies acquisition• Interviewed hundreds of candidates, many of whom were Staff+ level

• Managed Coursera’s Infrastructure Engineering team (later called Platform Engineering). The team focused on developer experience,​ ​DevOps,​ cloud ​infrastructure,​ ​security,​ ​continuous​ ​delivery​, performance, ​core​ ​services and more.• Grew the team from 4 to 17 engineers. Had the best retention of any engineering team, retaining 6 core team members for 4 to 5 years.• Led the team through numerous significant accomplishments: migrating our PHP monolith to microservices, running our first cross-region Disaster Recovery exercise, implementing modern, immutable frontend application+backend service deployment, introducing GraphQL for web+mobile data assembly and building our payments/e-commerce infrastructure.• Heavily​ ​involved​ ​in​ technical ​leadership,​ ​including​ ​the​ ​research,​ ​planning​ ​and execution ​of​ ​an​ ​18-month​ ​Long-term​ ​Architecture​ ​project​ ​for​ ​our​ ​70-person​ ​engineering organization.• Remained​ ​very​ ​technical​ ​in​ ​my​ ​management​ ​role​ by implementing tools, fixing issues (off the critical path) and reviewing technical designs. Remained on-call during my entire tenure at Coursera.• Working at a startup, I wore many other hats, including vendor procurement, AWS budget management, information security and privacy, security incident response, supporting legal inquiries + contract review and more.• Beyond hiring directly for my team, I also independently sourced and helped close key hires from my network, including our Director of Information Security and two engineering managers, one of whom became VP of Engineering.

As​ a ​founding​ ​member​ ​of​ ​the​ ​infrastructure​ ​team,​ ​I​ ​worked​ ​with​ ​incredibly​ ​talented​ ​colleagues​ in• Building Coursera’s ​microservice​ ​architecture on Scala, Cassandra and AWS• Designing​ ​and prototyping​ ​our​ ​internal​ ​REST​ ​framework​ ​(Naptime) • Setting​ ​up​ continuous delivery, monitoring and logging infrastructure• Introducing Kafka for messaging, monitoring and realtime analytics use cases

Joining the company fairly early on, I've had the privilege of working with some amazing engineers on many cool product and infrastructure projects at LinkedIn. Here a few of my favorite accomplishments thus far while working here:• rest.li: Designed and implemented the initial version of LinkedIn's next-generation RESTful service invocation framework.• Twitter integration: Designed and implemented account linking and bi-directional status synchronization between LinkedIn and Twitter using Twitter's Streaming API, REST APIs and OAuth. • Internal 'firehose': a realtime stream of all updates and activity on LinkedIn, built using Kafka, a high-throughput distributed messaging system (http://sna-projects.com/kafka). This data stream powers LinkedIn Signal and other forthcoming real-time products.• Site-wide sharing: Designed and implemented the new rich sharing module on the home page and a generic 'object sharing' dialog for the rest of the site. This project also included the implementation of our link shortener, lnkd.in.• LinkedIn Groups: Led a small team that took our fledgling Groups product from a simple badge on your profile to a vital professional collaboration space and a major engagement driver for the site• Profile PDF: Exports your LinkedIn profile to a nicely formatted PDF file. I used Apache FOP for PDF rendering.• Scalability: I helped keep the site up through periods of tremendous growth by profiling/tuning code, sharding databases, adding caches, optimizing SQL, diagnosing tricky distributed software issues and more.In addition to coding, I perform code and design reviews, mentor fellow engineers, write copious amounts of wiki documentation and present my work at tech talks and company all-hands meetings. I also spoke at JavaOne 2008 and SD West in 2008/2009, presenting LinkedIn's overall site architecture along with an outline of our engineering process:http://www.slideshare.net/linkedin/linkedins-communication-architecture

Developed and maintained VMware's backend e-commerce systems.

Developed medium-large scale business applications for internal Lab use (5000 users). Led efforts to develop in-house Java architecture and software tools. Evangelized Java technology to in-house development teams.

Led development of Java web applications for campus organizations and external clients.