Leading product development of DataHub, Acryl’s flagship open-core offering. I'm a generalist, having played the role of Eng Manager, Technical Architect, Product Manager, UX Designer, Recruiter, Developer Relations, Customer Support, & many types of engineer (Full Stack, DevOps, Integrations) depending on our company’s rapidly changing needs. Directly contributed over 1 million lines of code to the org in the past 3 years. Alongside an incredible team, helped lead project to 100M+ docker pulls, 9,000+ GitHub stars, 10,000+ Slack community members, and 1,000+ production deployments at organizations across the globe including Apple, Expedia, Stripe, Udemy, Coursera, Peloton, Etsy, Pinterest, Zynga, BlackRock, Visa, Wikimedia, Slack, PayPal, Notion, & LinkedIn. https://datahubproject.io

Working on a team building an internal PaaS offering for managing the entire lifecycle of entities and relationships comprising the LinkedIn economic graph, from defining data models to declaring compliance policies to permitting reads & writes across heterogenous execution environments, all while maintaining a delightful experience for our customers. Specifically, I'm leading portability: making a consistent view of the graph available for frictionless consumption across compute environments (online, streaming, & batch). Technologies: Apache Calcite, GraphQL, Spark, Hive, HDFS, Espresso, Rest.li

Anti-Abuse EngineeringLed the initial phases of a cross-organizational initiative to proactively track the types, access points, and quantities of sensitive domain data being served by LinkedIn services to external clients, from initial inception & requirements gathering to design & implementation to integration, support, & operations.- Designed an extensible taxonomy for classifying high-value domain data types- Designed & implemented infrastructure to support declarative association of taxonomy types with data being served by frontend services - Designed & implemented data tracking middleware responsible for streaming high-volume audit events (peak ~10k event/sec) into Abuse services in realtime - Designed & implemented framework tooling including build-time validation suite & runtime monitoring pipeline- Successfully led pilot integration with team responsible for the Profiles experience on LinkedIn's flagship web app, proved the value of the framework in detecting large-scale automation abuse - Secured phase I onboarding commitment from 4 teams owning mission-critical frontend services Other projects- Designed framework for universal scoring of LI traffic, allowing individual service owners to dynamically configure inline scoring- Mentored intern to implement middleware (Java) + dynamic configuration store (Oracle) components ATS Guest Filter- Implemented & ramped Apache Traffic Server plugin (C++) responsible for parallel scoring of guest traffic and decision enforcement at the proxy layer (>4k downstream QPS)- Plugin invoked on the critical path of nearly all LinkedIn global traffic (>300k invocations / sec peak)OperationsRotational oncall responsible for the health of - Mission-critical online services serving member restrictions + M2M blocks, realtime traffic scoring, edge-layer DOS defense- Kafka + Samza-based streaming pipelines for high volume counting & aggregation, DOS defense, & more

Helped build an awesome platform connecting fans to their favorite icons using NodeJS, React, React Native, MongoDB.Contributions:- Zero-downtime deployments (CI/CD)- Mobile search experience (React Native) - Server-side metrics- Server-side query caching (Redis) - Drove a comprehensive API refactor (NodeJS)

Security Eng - Fraud & AbuseContributed to anti-scraping efforts by designing, defending, and implementing infrastructure that improves identification and prevention of high QPS attacks from individual IPs.Made improvements to multiple services owned by Fraud & Abuse team.

I engaged in undergraduate research with Professor Xiaobo Hu. I am using HSPICE and Synopsys to simulate memory circuits (focus on SRAM) using next generation nano-transistors including Tunnel FETs and ambipolar Silicone Nanowire FETs. We are focused on using such transistors to simplify traditional CMOS circuit designs by reducing required transistor density.

On December 1, 2015, my classmate Devon Krapcho and I discussed the initial idea of an ephemeral group messaging app we called 'SquadSnap'. By mid January 2016, I had built a working iOS build ready for beta testing. On January 25, SquadSnap launched its beta test, initially bringing on 30 beta testers. After seeing promising metrics, with the app's frequency of use following an upward trend as the beta period continued, Devon and I decided to enter the Shurz Innovation Challenge, an innovation competition hosted by the Innovation Park incubator. On February 17th we presented and demonstrated the application to a panel of 4 judges, taking home a $1500 coding prize. By late February, SquadSnap had officially become an LLC, and I had officially become one of its two cofounders. NOTE: In early 2017, SquadSnap was taken down from the app store. Shortly after we'd released the application, Snapchat implemented an extremely similar ephemeral groups feature that is widely used today.

Added customization options to Visa Checkout iOS demo used by broader team to facilitate merchant integration.Implemented concept augmented reality shopping app (iOS).Designed and built initial prototype of major Visa Checkout partner "offers" feature.

As the startup's first iOS developer, I was expected to learn mobile development and help build a hyper-local, event-based social media application.Features that I had implemented included friends, groups, profiles, event feeds, comment feeds, an interactive map interface, a notification center, among others. By late January, the app was officially published on the App Store. By that point I had taken on the lead iOS role at the startup, leading a team of 3 other mobile developers.

During the summer of 2015, I worked as a software developer for a Pittsburgh law firm. For the duration of my time there, I worked on a cloud-based application that the firm could use to capture detailed information about inquiries (incoming calls, emails, etc) and use this information for marketing by email at a later date. The application requirements included that it had to be able to store contact information for inquiries (including email, phone, case type, and more), had to have a user-friendly search interface, had to be able to filter contacts based on various fields and include an interface to send targeted HTML marketing emails to such subsets, had to be able to store and use prewritten HTML email templates, had to have two account types -- separate for lawyers and staff, and had to allow the lawyers to easily provision new accounts. I began the project in late June, 2015. It was completed by August 20th, 2015. Upon successful completion, I began marketing the software to other firms after attaining Joyce & Bittner's consent.To build the application, I used AWS EC2, PHP, and MySQL, HTML, CSS, jQuery.