• Lead team of 7 engineers working across 5+ Node/TypeScript repositories, deployed via GitOps and Flux

• Lead design and implementation of internal tool using react-router to process 25+ exclusion files/week containing PII

• Lead weekly agile refinement meetings and provide feedback on all technical plans and pull requests

• Lead response for all Production incidents, interfacing with Engineering, Product & Analytics stakeholders

• Support hiring via 30+ technical and object-oriented interviews and 8+ campus events to date

• Co-led development of Jenkins job to create 15+ new Node microservices, w/ Remix & Fastify templates

• Led development of reusable components and theme on top of internal library w/ Emotion CSS

• Co-led integration of third-party bot protection vendor, tarpitting 70% of login requests at origin

• Led webview standardization initiative, bringing web login and registration experiences to 2.7+ million unique monthly active users across 10+ iOS and Android apps

• Led migration to trunk-driven development with automatic deployments via Octo and Bamboo, reducing time-to-merge by 90% to <1 hour

• MEng, Computer Science, with a focus in Machine Learning and Artificial Intelligence

• Worked under Peko Hosoi and Christina Chase in the MIT Sports Lab research group

• Completed thesis Automated Force-Velocity Profiling of NFL Athletes via High-Frequency Tracking Data (link coming soon)

• Served as TA for 2.98 Sports Technology: Engineering & Innovation course in Fall 2020 semester, mentoring team of 4 undergraduate students

• Supported various lab initiatives, including MIT Sports Summit for 2 years, where I led website development both years and the entire event in 2019

• Coordinated coursework for professional-focused data science and analytics course Topics included are: Supervised and unsupervised learning, clustering and classification, regression and prediction, hypothesis testing, deep learning, networks and graphical models, and recommendation systems.

• Monitored course forum to respond to student questions and troubleshoot technical issues

• Assisted students with understanding machine learning and data analytics fundamentals

• Managed student software workflow using Google Colaboratory, Python, and R

• Served 3,000+ students over the course of 3.5 years