JONATHAN ZHU
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Featuring Jonathan
Full-Stack Software Engineer
Citywide Eye Care- Lead engineer for a production EMR platform used daily by clinical staff, architecting a zero-downtime migration from on-premise servers to AWS (EC2, RDS, S3, Cognito, API Gateway, Amplify)
- Owned HIPAA security architecture end to end: Cognito JWT auth, IP whitelisting, role-based access control, and WireGuard VPN, passing all external compliance reviews with zero audit findings
- Reduced physician documentation time by 75% by engineering structured charting workflows with auto-save, copy-forward, and S3-backed document storage via pre-signed URLs
- Partnered directly with clinicians to define requirements and iterate on features, accelerating feedback cycles and cutting rework across all major releases
Full-Stack Software Engineer
ZLA (Client Contract – AI-Enabled CRM Platform)- Built a production CRM from scratch on a 5-person Agile team, delivering lead management, property tracking, campaign workflows, and agent dashboards within tight contract timelines
- Engineered an AI-powered lead discovery pipeline integrating Google Places API, Geocoding, Brave Search, and OpenAI, cutting manual prospect research time by 60%
- Architected a normalized FastAPI and PostgreSQL backend with complex relational schemas; built a React/TypeScript frontend with Kanban pipelines and map-based lead search
- • Provisioned and managed AWS infrastructure with Terraform (Amplify, EC2 with Elastic IP, API Gateway, Lambda) and built anadmin dashboard for one-click backend server management
Software Engineer Intern
Citywide Eye Care- Built and deployed an AI health chatbot using Python and Gemini API, autonomously handling patient FAQs and symptom triage, cutting front-desk call volume by 50%
- Rebuilt the patient-facing website in Next.js and Material UI, improving SEO and driving a 25% increase in appointment conversion rates
- Implemented digital intake and scheduling workflows on AWS (EC2, S3, RDS, Secrets Manager), replacing all manual paper-based processes
Application Developer Intern
ADP- Built an automated status-reporting tool adopted across the team, eliminating manual report generation and cutting decision turnaround time by 20%
- Reduced deployment time by 30% by optimizing the Jenkins CI/CD pipeline and improving MySQL query performance across internal analytics integrations
- Enhanced S3, Splunk, and Dynatrace integrations supporting internal analytics; recognized by engineering leadership for measurable impact on team velocity
About
A full-stack software engineer who builds reliable, real-world systems with a focus on usability and impact. I enjoy taking complex problems, breaking them down, and shipping software that actually gets used. My past experiences include production applications ranging from healthcare EMR platforms to AI-powered CRM tools, building across the stack with FastAPI, PostgreSQL, React, TypeScript, and AWS. I led the development of a live EMR system used daily in a medical clinical setting, helping reduce documentation time, improve data reliability, and streamline workflows for doctors and staff. I've also built AI-driven automation and lead-discovery features that significantly reduce manual effort and improve operational efficiency. I earned my B.S. in Software Engineering from Rochester Institute of Technology and will be furthering my education with an M.S. in Computer Science at Georgia Tech, where I plan to focus on machine learning and AI-driven systems.
Discography
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Backend / Systems
Frontend
Databases
Cloud / Infrastructure
AI / ML
Tools & Compliance
Albums
Rochester Institute of Technology
B.S. in Software Engineering
Expected May 2026
Georgia Institute of Technology
M.S. in Computer Science
Admitted, Fall 2026