Justin Chienyuen
@justinchienyuen1
Full-stack engineer building scalable, data-driven healthcare web apps with strong observability and UX focus.
United StatesWhat I'm looking for
I’m a fullstack engineer who builds scalable web applications end-to-end, from member-facing interfaces to internal tooling. I iterate quickly in fast-paced environments, delivering features from concept to production while translating ambiguous requirements into clear technical specifications.
At Cognizant, I architected a member-facing enrollment portal that reduced sign-up friction by 30% and increased conversion rates. I also led a real-time care coordination dashboard, built a scalable RESTful API layer, and implemented end-to-end observability with Datadog—plus I optimized PostgreSQL queries to reduce response times by 40%. Previously at Shopify, I shipped a customer billing interface, improved mobile checkout conversion by 15%, and achieved 95% test coverage with Jest and RSpec.
I’m passionate about leveraging technology to improve healthcare experiences and outcomes for patients and providers. I collaborate closely with product and design teams, mentor junior engineers, and focus on building human-centered products that empower care teams and enhance the patient journey.
Experience
Work history, roles, and key accomplishments
Architected a member-facing enrollment portal with Vue.js, TypeScript, and FastAPI, reducing sign-up friction by 30% and increasing conversion rates. Built scalable REST APIs and PostgreSQL performance improvements that reduced average response times by 40%, and implemented Datadog observability to monitor production health and performance.
Developed a customer-facing billing interface with React, TypeScript, and Ruby on Rails, and built a real-time inventory tool using GraphQL and WebSockets. Improved mobile checkout conversion by 15%, reduced reporting time by 25%, achieved 95% test coverage, and cut page load time by 20% through performance optimizations.
Built interactive D3.js and React data visualization tools and created a TypeScript component library to improve reuse and accelerate development. Refactored a Flask service to FastAPI to improve API response times by 50%, set up Datadog monitoring, and optimized PostgreSQL queries to reduce dashboard load times by 35%.
Education
Degrees, certifications, and relevant coursework
New York Institute of Technology
Bachelor of Science, Computer Science
2018 - 2022
Earned a Bachelor of Science in Computer Science at New York Institute of Technology (2018–2022).
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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