justin wang
@justinwang4
Senior software engineer specializing in microservices, APIs, and secure cloud deployments for AI-driven products.
What I'm looking for
I’m a Senior Software Engineer focused on building reliable microservices and high-performance APIs that power AI-driven solutions. I’ve designed architectures that improve deployment efficiency and accelerate customer-facing response times.
At Sciencesoft, I “Designed and implemented a robust microservices architecture using Spring Boot and Docker,” delivering a 30% improvement in deployment efficiency. I also built a streamlined gRPC API to connect AI Agent systems and frontend applications, improving user experience and response times by 20%.
In prior roles, I developed “highly available RESTful APIs” for large-scale customer interaction workloads, reducing external communication error rates by 40%. I optimized database schemas across MongoDB and other data stores to improve retrieval speeds and strengthen reporting and sentiment analysis workflows.
I’m especially motivated by engineering that’s measurable and secure—refactoring legacy services to reduce latency in AWS, integrating machine learning models into backend services, and strengthening compliance by implementing best practices in Terraform and Kubernetes for sensitive data protection.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Sciencesoft
Jan 2024 - Present (2 years 5 months)
Designed and implemented a microservices architecture with Spring Boot and Docker, improving deployment efficiency by 30% for AI-driven solutions. Built gRPC APIs to streamline communication between AI agents and frontend apps, improving response times by 20%, and reduced latency under peak loads in AWS by refactoring legacy services.
Software Engineer
CGM
Jan 2021 - Dec 2023 (2 years 11 months)
Developed a large-scale customer interaction platform using ASP.NET and SQL Server, handling thousands of transactions daily with a focus on reliability. Implemented highly available REST APIs that reduced third-party communication error rates by 40%, optimized MongoDB schemas to improve retrieval speed, and supported a Google Cloud migration with minimal downtime.
Software Engineer
AWS
Jun 2017 - Dec 2020 (3 years 6 months)
Built Python and Flask internal tools to automate reporting workflows, reducing manual effort by over 15 hours per week. Developed a web-based CRM with JavaScript and MySQL, improved third-party API data accuracy by 25% through debugging, and containerized applications with Docker to streamline deployments.
Education
Degrees, certifications, and relevant coursework
University of Illinois
Bachelor of Applied Science, Computer Engineering
2013 - 2017
Bachelor of Applied Science in Computer Engineering from the University of Illinois (2013–2017).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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