# Shivathmika Babburi

> Software Engineer | Vue.js, React, NestJS | AWS | Scalable, High-Performance Systems

Location: Washington DC-Baltimore Area, United States
Profile: https://flows.cv/shivathmika

I am a results‑oriented Software Engineer with 2 + years of experience turning complex product goals into performant, maintainable code. My sweet spot is the intersection of full‑stack development, cloud architecture, and data‑driven UX. Day‑to‑day, I work fluently across Java, Python, JavaScript/TypeScript, Vue 3, React, Spring Boot, NestJS, and SQL/NoSQL stores while automating everything with Docker, AWS, and CI/CD pipelines.

Recently at HyperWater, I modernized a legacy platform by migrating to the Vue 3 Composition API and NestJS services, shrinking API latencies from seconds to milliseconds and accelerating release cadence by half. Partnering with the data‑science team, I embedded AI‑powered classification that replaces manual triage and guides users with > 90 % precision. I also introduced end‑to‑end observability—centralized logging, OpenAPI docs, and rigorous input validation—so new engineers ramp in days, not weeks.

Earlier, during my internship at Analytical Data Solutions, I built a component library that sped feature delivery, and refactored MongoDB indexes to unlock visible gains in query speed. At Cognizant, I cut processing overhead in microservices by applying Spring Security, JWT, and optimized SQL/JPA patterns.

I back my hands‑on experience with a M.S. in Computer Science from George Mason University and industry credentials: AWS Developer Associate and IBM Full‑Stack Developer. I thrive in Agile squads that prize clean architecture, measurable impact, and a culture of continuous learning. If you’re seeking an engineer who can own features from Figma wireframes to production Kubernetes, let’s connect.

## Work Experience
### Software Engineer @ HyperWater.ai
Jan 2025 – Present | Dallas, Texas, United States
• Led the optimization of backend APIs, reducing response times by 40% and improving user satisfaction through enhanced performance.
• Refactored legacy codebase with Vue.js 3 Composition API, accelerating feature delivery velocity by 50%, leading to faster product iteration cycles.
• Built responsive UI with PrimeVue, supporting 100% device compatibility and improving mobile usability score by 25% based on UX feedback.
• Integrated AI-driven recommendations with 90%+ accuracy, reducing manual classification by 60% and enhancing prediction-based decisions.
• Implemented real-time search, filtering, and sorting with debounced input, decreasing UI response time by 35% and improving user efficiency in navigating large datasets.
• Developed scalable backend APIs with NestJS and Prisma ORM, efficiently handling over 10,000 bid entries while reducing query response time from 1500ms to 15ms.
• Enforced strict validation rules for inputs and DTOs, decreasing API- related user errors by 70% in staging and production.
• Focused on a modular architecture that reduced onboarding time for new roles by 32%, improving team efficiency and user experience.
• Created Swagger/OpenAPI documentation covering 100% of endpoints, cutting frontend-backend integration time by ~50% and improving onboarding for new developers.
• Added real-time bid activity analytics and document upload capabilities, enabling teams to track progress and share bid-related documents across 50+ active projects.
• Established a logging framework that improved system uptime and user experience, enabling faster issue identification and resolution.

### Software Engineer @ Cognizant
Jan 2022 – Jan 2022 | India
• Engineered scalable microservices with Spring Boot and REST APIs, ensuring seamless integration and high performance across systems.
• Delivered robust web apps using React.js for user interfaces and Java for backend, ensuring secure, efficient data processing workflows.
• Designed optimized database schemas, advanced SQL queries, and used JPA for efficient and seamless ORM implementation.
• Secured systems with Spring Security and JWT, implementing authentication and authorization per industry standards for data safety.

### Full-stack Developer @ Online Computer Systems
Jan 2021 – Jan 2021 | Vijayawada, Andhra Pradesh, India
• Developed a full-stack e-commerce platform using Spring Boot, featuring RESTful APIs for managing products, users, and orders, along with secure authentication, product search, filtering, and cart management.
• Leveraged MongoDB for database management, optimized backend performance for scalability, utilized Git for version control, and deployed the platform on AWS.


## Education
### Master's degree in Computer Science
George Mason University

### Bachelor of Technology - BTech in Computer science and engineering
Sreenidhi Institute of Science and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/babburi-shivathmika

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Source: https://flows.cv/shivathmika
JSON Resume: https://flows.cv/shivathmika/resume.json
Last updated: 2026-04-05