Sai Vinay
4+ Yrs. of Exp. Software Development Engineer | Java & Spring Boot Microservices | AWS Cloud | Full-Stack React | Generative AI & LLM Integration | Financial & Healthcare Systems | MS in IS @UNT
- Role
- Software Development Engineer at Morgan Stanley
- Location
- Dallas-Fort Worth, TX, US
- LinkedIn followers
- 500 followers
About Sai Vinay
Software Development Engineer with 4+ years of hands-on experience building scalable enterprise applications across financial services and healthcare domains. Proven expertise in Core Java (8/11/17), Spring Boot microservices, cloud-native AWS architectures, and full-stack development using React and modern web technologies. Specialized in integrating Generative AI and LLM solutions (OpenAI, Anthropic, LangChain, SageMaker) to automate workflows, enhance client services, and improve operational efficiency. Strong background in CI/CD automation, system performance optimization, secure API development, and production support across Linux and AWS environments. Recognized for delivering high-impact, reliable, and compliant solutions in Agile, fast-paced enterprise settings.
Experience
Software Development Engineer
Jan 2025 — Present · US
Engineered scalable financial applications using Core Java (8/11/17), Vertex, and React.js, integrating OpenAI GPT-4 and Anthropic APIs to build GenAI-powered client service bots, reducing trade support response time by 15%- Developed secure microservices using Spring Boot, Spring Security, and Dagger Dependency Injection for account authentication and trade approvals, and migrated legacy AngularJS components to Redux Toolkit–enhanced React user interfaces- Built end-to-end CI/CD pipelines using Jenkins, Maven, Gradle, and GitHub Actions, deployed applications on AWS EC2, AWS Lambda, and optimized MySQL, MongoDB databases for high-throughput financial workloads, improving system reliability by 25%- Integrated AWS Coral REST APIs for asset tracking and leveraged Amazon SageMaker and LangChain to process investment documentation using LLMs, automating client onboarding and compliance workflows- Led unit and integration testing using JUnit for Java and XML-based APIs; enhanced test automation with SoapUI and Jenkins pipelines, achieving 40% faster QA cycles for financial reconciliation platforms- Supported production and beta environments across Linux and AWS infrastructure, implemented Amazon CloudWatch logging and monitoring, and developed compliance tools for real-time financial inventory tracking.
Education
SRKR Engineering College
Bachelor of Technology - BTech, Computer Science
University of North Texas G. Brint Ryan College of Business
Master of Science - MS, Information Systems and Technologies
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