Patient Journey• Leading integration and implementation of event tracking and data gathering for research and AI initiatives.• Followed security compliancy and stood up client-side key fetching via Kubernetes in all environments.Eligibility and Billing (E&B)• Served as project lead for a project that provides insurance benefits and copays to patients.• Built background Kafka process that fetches insurance eligibility with cross functional services in under 15s.• Collaborated cross functionally with engineering, product, and design teams in discussion of edge cases and alignment of MVP.• Updated and organized tickets with dev notes to streamline engineer productivity and ease pointing.Pediatrics• Served as back end lead for project that provides pediatric care to over 1m children and dependents across the USA• Integrated height and weight data across dependent applications and third-party systems such as EMR and DoseSpot.• Created design documentation and led discussions on Statsig integration into back end.Scheduled Sync• Key contributor for providing patients with scheduled virtual appointments for our provider network.• Led Kafka consumer design and delivery w/ DLQ integration; processes 40k+ messages weekly achieving 99% uptime.• Developed idempotent event handlers and RESTful APIs for critical operations such as payments, reducing risk.• Created DataDog monitors and logs for triaging production issues, enhancing troubleshooting and team support.Multi-Tenant Patient Experience• Delivered a one-stop single platform to multiple major clients including Walgreens, J&J, Tylenol, and Amazon.• Guaranteed the security, safety, and uniqueness of confidential API keys for multiple clients in a single platform.• Led front end development and contractor onboarding to reduce bottlenecks by 50%.

• Created RESTful APIs with Python using Flask, FastAPI, and SQLAlchemy that serviced over 6 major clients.• Developed UPS data tracking application with AWS infrastructure involving AWS SQS, SNS, and Lambdas.• Achieved 95% code coverage with Pytest framework to deliver quality and reliable coding standards.• Contributed to documentation and pull request reviews each sprint to streamline development time.• Mentored junior engineers and demonstrated subject expertise with domain knowledge.

Digital Retail Platform (DRP)Ultra/UltraX• Led the development of a scalable form authoring functionality that reduced engineer development time by over 30%.• Conducted project management responsibilities by creating and keeping track of tasks with Azure.• Developed scalable web components and widgets using React, Next.js, GraphQL, and Strapi CMS.

Customer Care and Aftersales (CCA)OSWAT• Developed a system responsible for managing bulk deliveries in PDCs to over 7000 GM dealerships across the USA.• Redesigned existing front-end using Angular and significantly reduced negative feedback on system.OpEx LoadClose• Contributed code to central system that processed thousands of delivery documents to dealerships each day.• Reduced more than 100 hours of wait time and costly supply chain errors to dealers across the USA.

• Designed iPad and Desktop web applications for agencies and clients of Janssen Pharmaceuticals.• Created a text to HTML parser for drug information, reducing development time by 8+ hours per assignment.

• Identified and troubleshooted bugs, applications, connectivity, compatibility, and software for students and faculty• Collaborated with coworkers to provide satisfying service for patrons with device problems• Maintained over 50 computers in each computer lab on three sites for the students and faculty to use

• Net Administration: Mac Authentication Bypass (MAB) configuration, Fluke Networks Linkrunner Diagnostic tool, and port verification through DHCP• Identifying and removing ransomware, spyware, trojans, viruses, and worms

ETS• Refactored back-end of web app for Educational Testing Services (ETS).• Data processed the ETS database through Python to make compatible in JSON. Used JQuery to update a search bar that identified key wordsOther work• Designed and managed a Basketball and Politics Database using SQLite.• Data processed DBs using Python into JSON to make JS compatible for front-end

• Data processed a Kaggle dataset with Python.• Technologies used: matplotlib, Jupyter, Node.js