• Managed 4 sub-teams of 10 full-time employees and 8 contractors balancing core products, new ones and tech investments• Grew team 4x in size in a remote context, iterating on team processes to better support productivity, training and collaboration• Developed Clever’s most senior engineers helping them grow to Managers and Staff Eng, maintaining a 95% annual retention rate • Hired 11 engineers ranging from new grads to specialized senior engineers, increasing team representation of women and parents• Launched Clever IDM from 0 to 1, now winner of the Top EdTech Product Award and critical infrastructure for millions of students• Maintained 99.97% uptime for critical SSO product with investments in load testing framework and data store migrations• Pioneered use of Spark ETL jobs at Clever, securing 10x performance gains to expand user limits and enable historical views• Organized lightning talks quarterly, where 50% of engineers present on technical topics with 95% overall attendanceTech Lead, Discovery Team• Tech lead a cross-functional team of 10 in redesign of teacher portal used by 60% of US teachers• Enabled 12x YoY growth of app store usage, securing stability through the re-architecture of microservices and data schemas• Mentored intern on building recommendations for app store, resulting in 50% more installs and intern joining full-time

• Led projects in teams supporting ad delivery on Amazon and 3rd party sites, a business that grew 100x to $10B revenue by 2018• Mentored 20 software engineers and data scientists, scoping projects, overseeing design and reviewing coding and test strategies• Interviewed over 100 candidates for software and data science roles; spoke to 400 students for on-campus recruiting• Led efforts in smart traffic shaping pioneering the use of Redis Cluster at Amazon to process 100B requests daily with 10ms latency• Co-authored AWS whitepaper for Advertising Technology Clients “Building a Real-Time Bidding Platform on AWS”• Developed and maintained 100+ data jobs on 100TB/daily using Python, Spark and Pig for experimentation and auction insights• Presented work to hundreds of business and technical coworkers, being rated 92/100 for customer impact, clarity and use of time• Proposed and executed hardware swap resulting in yearly savings of millions of dollars and latency reduction of 12-25%

• Refined design and implemented a decentralized and computationally efficient Verifiable Voting System• Guaranteed correctness and privacy by leveraging distributed mix-networks, zero-knowledge proofs and split-value representation• Demonstrated practicality of solution by simulating an election with 10,000 voters on a 12-node cluster using OpenStack