Dondray Li
@dondrayli
I am a Senior Java Full Stack Engineer building scalable, secure microservices and React frontends.
What I'm looking for
I am a results-driven Senior Java Full Stack Engineer with 8+ years designing and delivering scalable, secure applications across healthcare, fintech, AI, and SaaS domains. I focus on translating complex business needs into elegant engineering solutions that meet regulatory requirements.
I have led microservices migrations, integrated AI/ML models, and built dynamic React/TypeScript front ends while optimizing back-end performance with Java, Spring Boot, Kafka, and cloud-native pipelines. My work has driven measurable outcomes—improving referral accuracy, reducing latency, scaling inference throughput, and cutting release cycles through CI/CD and infrastructure-as-code.
I enjoy mentoring engineers, collaborating with cross-functional teams, and building production-grade systems that deliver measurable business impact in regulated environments.
Experience
Work history, roles, and key accomplishments
Architected and delivered scalable Java/Spring Boot REST APIs and modernized provider-matching with Elasticsearch and React, boosting referral accuracy by 35% and reducing downtime incidents by 80% via containerized microservices. Built Kafka ETL pipelines and a secure multi-tenant backend (JWT/OAuth2) that cut provisioning time from days to hours and improved patient follow-up adherence by 25%.
Designed a Java/Spring Boot ML inference microservice that reduced latency by 60% and increased throughput 4× to handle thousands of clinical requests per minute, and rebuilt PDF ingestion with OCR, Kafka, and TensorFlow improving model accuracy by 30%. Led full-stack HL7/DaVinci integrations and automation that raised auto-approval rates to 90%, cutting provider review time by one-third and reduc
Engineered Java/Spring Boot backend microservices and a Kafka/Redis notification system supporting over 50 million daily notifications with sub-second latency and integrated Elasticsearch to enhance search across large-scale projects. Optimized JPA/Hibernate queries and indexing, reducing database query times by 40% and enabling scalable, responsive dashboards.
Developed Java backend modules and AI-driven test synthesis that increased test creation speed up to 10× and built REST microservices for cross-browser execution, reducing end-to-end test run time by 40%. Integrated generative AI for prompt interpretation and implemented enterprise audit logging and access controls to support compliance requirements.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science, Electrical Engineering and Computer Sciences
2011 - 2015
Completed a Bachelor of Science in Electrical Engineering and Computer Sciences at the University of California, Berkeley from 2011 to 2015.
Tech stack
Software and tools used professionally
Postman
OpenAPI
D3.js
Chart.js
GitHub
SonarQube
Kubernetes
Jenkins
GitHub Actions
Liquibase
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Spring Boot
Spring MVC
Material-UI
Redis
Terraform
Visual Studio
IntelliJ IDEA
Azure DevOps
Jira
Gradle
Java 8
Thymeleaf
React
axios
JavaScript
HTML5
Java
JSON
F#
TensorFlow
Kafka
RabbitMQ
Grafana
Prometheus
Google Workspace
ClickUp
gRPC
Elasticsearch
Spring Security
JUnit
TestNG
Mockito
Visual Studio Code
OAuth2
Firefox
Formik
dockerized
Toolkit
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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