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Vamsi Ponnada

Software Engineer • Overland Park, Kansas • v*************@gmail.com • +19******675 • drivetube.ai/•••••

Professional Summary

Software Engineer with 4+ years of experience building full‑stack, cloud‑native applications using Java, Spring Boot, React and TypeScript. Strong background delivering microservices and REST APIs on AWS and container platforms, and implementing CI/CD and observability for production services. Experience spans consumer technology (Apple), financial services (Capital One) and enterprise IT services (TCS), with end‑to‑end ownership from design through production support. Skilled in performance tuning, caching strategies with Redis, relational schema design (MySQL/PostgreSQL), and automation with Docker, Kubernetes and GitHub Actions. Proven to modernize legacy services, improve system reliability, and deliver customer-facing UI and backend features at enterprise scale.

Technical Skills

Programming Language: Java,Python,JavaScript,TypeScript,SQL
Frontend Technologies: React
Backend Technologies: Spring Boot,Node.js
Databases: MySQL,PostgreSQL,Redis
Cloud Platforms: Amazon Web Services,ECS,EKS
Version Control & Development Tools: Maven,Linux,GitHub
DevOps & Infrastructure: Docker,Kubernetes,Jenkins,GitHub Actions
Testing & QA: Unit Testing,Integration Testing,Logging and Metrics
API & Integrations: RESTful APIs
Messaging & Monitoring: CloudWatch
Architecture & Design Patterns: Microservices
Project Management & Collaboration: Jira

Work Experience

Apple Inc.
Software Engineer
Oct 2025 – Present
Consumer technology company; worked on cloud-native full-stack systems and internal enterprise-scale services supporting product operations and user workflows.
Tech Stack: React, TypeScript, Java, Spring Boot, REST APIs, Redis, Docker, Kubernetes, GitHub Actions, CloudWatch
  • Architected and implemented frontend features using React and TypeScript to deliver responsive, accessible user interfaces for enterprise workflows.
  • Implemented backend microservices using Java and Spring Boot to expose REST APIs consumed by multiple internal and external clients.
  • Designed and applied Redis-based caching strategies to reduce backend load for frequently accessed endpoints and improve UI responsiveness.
  • Containerized services with Docker and deployed to Kubernetes on EKS to standardize runtime and improve environment parity.
  • Built GitHub Actions pipelines to automate build, test, and deployment stages, improving release repeatability and rollback speed.
  • Optimized SQL queries and Spring Boot data access patterns improving request handling under peak load.
  • Investigated production incidents using CloudWatch logs and metrics and implemented fixes to increase application stability.
Capital One
Software Engineer
Jan 2025 – Oct 2025
Financial services company; contributed to cloud-native customer-facing and transaction systems built on AWS with a focus on secure, high-availability services.
Tech Stack: Java, Spring Boot, React, TypeScript, PostgreSQL, Docker, Amazon ECS, AWS, CloudWatch
  • Developed cloud-native services using Java and Spring Boot to support customer transaction and account APIs.
  • Implemented frontend components with React and TypeScript to accelerate feature delivery for customer portals.
  • Designed and consumed PostgreSQL schemas and queries for transactional data access and reporting.
  • Packaged services with Docker and deployed to Amazon ECS to support predictable service lifecycle management.
  • Built automated integration tests and pipelines to validate API contracts and deployments before production rollouts.
  • Instrumented services with CloudWatch-based observability to track key signals and respond to operational issues.
  • Resolved production issues by debugging Java services and improving error handling and retry policies.
Tata Consultancy Services (TCS)
Software Developer
May 2021 – Dec 2023
IT services and consulting firm; developed enterprise web applications and integrations for business-critical clients using Java and web technologies.
Tech Stack: Java, Spring Boot, JavaScript, Node.js, MySQL, Jenkins, Maven, Linux
  • Developed backend modules in Java and Spring Boot to support enterprise workflows and integrated RESTful endpoints for client systems.
  • Implemented frontend interfaces using JavaScript and React to improve user engagement and usability for enterprise dashboards.
  • Built lightweight Node.js services to handle asynchronous processing and integration tasks for client integrations.
  • Designed relational schemas and implemented MySQL queries for transactional and reporting use cases.
  • Automated builds and deployments using Jenkins and Maven to standardize release processes across environments.
  • Backed production environments by diagnosing application and infrastructure issues on Linux-based servers and applying fixes.

Projects

Enterprise Full Stack Management Platform
Tools Used: React, TypeScript, Java, Spring Boot, MySQL
  • Developed a full‑stack web platform with React frontend and Spring Boot microservices to support analytics and operational dashboards.
  • Designed REST APIs to enable secure integrations between frontend dashboards and backend services.
  • Improved platform performance via query optimization and server-side caching for heavy reporting pages.
  • Implemented role-based UI components to simplify administrative workflows and reporting.
Cloud Native Customer Engagement System
Tools Used: Docker, AWS, Spring Boot, React
  • Built containerized microservices deployed to AWS to support real-time customer interactions.
  • Implemented React-based UI components for live interaction flows and stateful session handling.
  • Integrated logging and alerting to centralize observability and accelerate incident response.
  • Designed backend processing to efficiently handle transactional workloads with fault-tolerant patterns.
Distributed Analytics Dashboard
Tools Used: Python, React, TypeScript, SQL
  • Developed a real-time analytics dashboard using React and TypeScript for visualization of business metrics.
  • Implemented data aggregation APIs and ETL scripts in Python to ingest and normalize distributed datasets.
  • Built backend endpoints to aggregate metrics and provide paginated responses for UI consumption.
  • Optimized data pipelines to reduce response times for complex queries and visualizations.

Education

University of Central Missouri
Master of Science in Computer Science • May 2025
GMR Institute of Technology
Bachelor of Technology in Computer Science and Engineering • May 2021

Certifications

AWS Certified Cloud Practitioner
AWS Solutions Architect Associate
Google Cloud Digital Leader
Java Programming Certification
Python Programming Certification
Full Stack Web Development Certification

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