Nike Platform Engine team

Nike Platform Engine team• Orchestrated Kubernetes deployments using Crossplane compositions and composite resource definitions to automate resource management across tenant clusters.• Integrated lifecycle hooks into Kubernetes Crossplane composition and Nike platform engine’s REST API using Go, increasing resiliency and observability of components.• Utilized KUTTL to rigorously test changes on a control plane architecture to confirm stability and reliability.

• Worked in Dr. Thad Starner's passive haptic learning lab to create gloves that increase piano learning rates.• Created an analytical dashboard for users to track their progression over time via a web portal.• Designed and presented a poster titled, "Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition: A Real-World Study" with lab partners Elijah Hopper, Diego De Dios Suarez, and Priyanka Rajan, placing 3rd for best poster presentation in the College of Computing at the Georgia Tech 17th Annual Undergraduate Research Symposium.

• Led a team of 15+ students in developing a predictive crop yield visualizer to help growers maximize profits.• Ran interactive workshops and demos on industry-leading distributed computing technologies with 50+ participants.

Public Cloud Engineering team• Migrated Google Cloud Platform project provisioning to Nike’s central cloud provider management application, increasing scalability and reducing project configuration time by 40%.• Implemented an asynchronous workflow to configure IAM policy bindings, service account permissions, and SSO integrations, enhancing security and streamlining access management.• Engineered a testing framework with JavaScript and Python for Google Cloud Platform project creation, improving reliability and eliminating an error affecting 80% of prior projects.• Orchestrated a complex multi-container application with Docker Compose, creating a consistent development environment and accelerating the development process.

• Implemented end-to-end tests for a video call system using WebdriverIO framework.• Designed and ran multi-platform tests in BrowserStack.

Teacher assistant for CS 315, Intermediate Algorithms.• Held weekly office hours to help students with debugging, graph algorithms, and dynamic programming.• Graded over 100 students’ work based on a list of quality standards.

• Led seminars on tools including JavaScript, HTML/CSS, React, jQuery, anime.js, and THREE.js.• Hosted interactive resume and interview workshops for a group of 30+ students.

• Built a decentralized peer-to-peer social network payment application using React, jQuery, and Bootstrap.• Deployed and evaluated smart contracts on a simulated Ethereum blockchain with the Truffle Suite.• Integrated third party hot wallets such as MetaMask and Coinbase Wallet using web3-react.• Increased server query response time by 17% by restructuring REST API and optimizing concurrency.

• Participated in CTF programming competitions utilizing tools such as Ghidra, Kali Linux, Burp Suite, and SQLmap.• Analyzed JavaScript and HTML source code to identify security risks.• Designed Python scripts to solve cryptography challenges.

• Filtered data sets from the N3C COVID-19 database containing over 6 million rows with R, Python, and SQL.• Utilized SparkR for distributed data processing to deal with large-scale data streams.• Developed data visualization templates including a single-date frequency plot split among data partners.• Presented and demonstrated how data analysts can make use of these templates in their research.