Hi, I'm Devanshi Desai, a Full Stack Developer based in California with over 4 years of hands-on experience delivering scalable, enterprise-grade software using Java, Spring Boot, React, Angular, TypeScript, Python, and modern cloud-native stacks. I thrive in cross-functional teams, modernize legacy systems, and apply DevOps and AI integration to improve performance and user experience. Highlights include building 200K+ daily transactions on enterprise platforms, reducing support tickets by 35% through OpenAI GPT-4 and Pinecone, and improving Lighthouse scores for large user bases. I enjoy delivering robust APIs, maintainable code, and seamless collaboration across telecom, fintech, and banking verticals.

Devanshi Desai

Hi, I'm Devanshi Desai, a Full Stack Developer based in California with over 4 years of hands-on experience delivering scalable, enterprise-grade software using Java, Spring Boot, React, Angular, TypeScript, Python, and modern cloud-native stacks. I thrive in cross-functional teams, modernize legacy systems, and apply DevOps and AI integration to improve performance and user experience. Highlights include building 200K+ daily transactions on enterprise platforms, reducing support tickets by 35% through OpenAI GPT-4 and Pinecone, and improving Lighthouse scores for large user bases. I enjoy delivering robust APIs, maintainable code, and seamless collaboration across telecom, fintech, and banking verticals.

Available to hire

Hi, I’m Devanshi Desai, a Full Stack Developer based in California with over 4 years of hands-on experience delivering scalable, enterprise-grade software using Java, Spring Boot, React, Angular, TypeScript, Python, and modern cloud-native stacks.

I thrive in cross-functional teams, modernize legacy systems, and apply DevOps and AI integration to improve performance and user experience. Highlights include building 200K+ daily transactions on enterprise platforms, reducing support tickets by 35% through OpenAI GPT-4 and Pinecone, and improving Lighthouse scores for large user bases. I enjoy delivering robust APIs, maintainable code, and seamless collaboration across telecom, fintech, and banking verticals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Full Stack Engineer at Brillio
January 1, 2024 - Present
Architected event-driven microservices for a Fortune 500 telecom client's customer portal using Spring Boot, Kafka, and AWS ECS; processed 200K+ daily transactions with 99.9% uptime across three availability zones. Integrated OpenAI GPT-4 API and Pinecone vector database to power AI-assisted shipment queries, reducing customer support tickets by 35% and average resolution time from 11 minutes to 4 minutes. Rebuilt a legacy Angular monolith into a React/TypeScript component library with lazy loading, code splitting, and Redux, improving Lighthouse score from 54 to 91 for 80K+ MAU. Containerized 12 Spring Boot microservices on AWS EKS using Docker and Kubernetes; standardized CI/CD via GitHub Actions and CodeDeploy, cutting release cycle from 14 days to 3 days. Engineered a Python data ingestion service to sync logistics event streams from 6 carrier APIs into a centralized MySQL data layer with automated retry logic; processes 500K+ records daily with <0.2% error rate. Implemented Spring
Software Engineer at TatvaSoft
January 1, 2021 - August 1, 2022
Built Spring Boot REST APIs for a B2B fintech investment marketplace handling 15K+ daily transactions, including funding rounds, investor KYC validation, and secure document signing via third-party contract APIs; deployed on AWS EC2 with Spring Security-based RBAC. Developed React.js frontend for a client-facing investor dashboard and Angular-based admin panel; reduced average page load time from 4.1s to 1.7s through lazy loading and query-result caching. Optimized MySQL schema and queries for a high-frequency catalog, reducing average query time from 780ms to 175ms across 60K+ product records. Created RESTful services for a US-based insurance claims system with RBAC and 99%+ API availability. Containerized development and staging environments using Docker; Jenkins pipelines reduced environment setup time by 65% across a 6-member dev team. Collaborated in 2-week Agile/Scrum sprints delivering 12–14 features per quarter with sprint completion rates above 93%. Built reusable React comp

Education

Master of Science in Computer Science at Syracuse University, Syracuse, NY
January 11, 2030 - May 1, 2024
Bachelor of Technology in Computer Science at P. P. Savani University, India
January 11, 2030 - May 1, 2022
Master of Science in Computer Science at Syracuse University
January 11, 2030 - May 1, 2024
Bachelor of Technology in Computer Science at P. P. Savani University
January 11, 2030 - May 1, 2022

Qualifications

Agentic AI
January 11, 2030 - February 23, 2026
Docker Foundations
January 11, 2030 - February 23, 2026
AWS Academy Cloud Foundation
January 11, 2030 - February 23, 2026
Agentic AI
January 11, 2030 - April 7, 2026
Docker Foundations
January 11, 2030 - April 7, 2026
AWS Academy Cloud Foundation
January 11, 2030 - April 7, 2026

Industry Experience

Telecommunications, Financial Services, Software & Internet, Professional Services