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Bio

Yoganand Reddy Vemireddy is a seasoned software engineer with expertise in full-stack development, leveraging a robust skillset to drive innovative solutions. Proficient in a wide range of technologies, including JavaScript, TypeScript, HTML5, CSS3, and SQL, he excels in Agile/Scrum, Waterfall, and client-side routing. With experience in responsive web design, cross-browser compatibility, and RESTful API integration, Reddy Vemireddy has a proven track record of delivering high-quality, scalable applications. His technical expertise extends to cloud computing, with proficiency in AWS (CloudFront, S3, Lambda, API Gateway, Amplify) and GCP (Firebase, Cloud Functions, Storage), as well as experience with PostgreSQL, MongoDB, and Firebase Realtime DB. He is well-versed in version control systems, including Git, GitHub, and Jenkins, and has a strong understanding of testing frameworks, including Jest, React Testing Library, and Cypress. Reddy Vemireddy's proficiency in DevOps tools, such as Docker, Kubernetes, and Chrome DevTools, enables him to ensure seamless deployment and maintenance of applications. His expertise in Agile methodologies, including Scrum and Kanban, allows him to effectively collaborate with cross-functional teams to deliver projects on time and within budget.

Experience

  • JPMorgan Chase & Co
    • Philadelphia, PA
    • Software Engineer
      • Oct 2024 - Present
      • Philadelphia, PA

      Developed secure loan processing APIs using Java Spring Boot and JPA, integrating with PostgreSQL and Kafka to enable real-time data validation and reduce loan approval delays by 35%. Refactored monolithic risk assessment logic into microservices architecture with independent deployment pipelines, cutting build time by 40% and enabling parallel development workflows. Created interactive advisor tools using React.js, Redux, and TypeScript, improving cross-page data persistence and increasing daily workflow completion rates by 28%. Built serverless workflows using AWS Lambda and Step Functions to automate archival of documents, reducing latency by 30%. Applied OAuth2 and JWT-based access control using Spring Security and role-based policies, decreasing internal security issues by 45% and ensuring compliance with enterprise IT standards. Led testing migration from Postman to JUnit, Mockito, and TestContainers, increasing test coverage to 92% and improving pre-deployment confidence across teams.

    • United States
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Software Engineer
      • Mar 2022 - Aug 2023
      • Mumbai, India

      Designed and maintained scalable Node.js backend APIs for healthcare appointment scheduling, implementing schema validation, retry logic, and custom error responses, resulting in a 30% reduction in production-level incidents. Architected responsive and reusable React.js components for multi-step booking workflows, collaborating with UI/UX teams and improving task completion rates by 26%, especially in mobile-responsive views. Deployed microservices using Docker and orchestrated deployments on AWS ECS with autoscaling, health checks, and secure IAM roles, achieving 35% higher uptime and reducing manual configuration errors. Engineered asynchronous processing workflows using AWS Lambda, SQS, and SNS to handle high-volume data syncing and job queues, reducing client-facing request delays by 42% during peak usage. Constructed end-to-end CI/CD pipelines using Jenkins, AWS CodePipeline, and GitHub Actions with integrated code quality checks and rollback triggers, increasing deployment velocity by 40% and lowering hotfix frequency. Integrated backend services with Amazon DynamoDB and PostgreSQL, tuning read/write throughput, introducing caching layers, and lowering query latency by 25%, especially in high-concurrency use cases.

    • Junior Software Engineer
      • Jan 2021 - Feb 2022
      • Mumbai, India

      Assisted in migrating static jQuery-based pages to modular React.js components with stateful routing and reusable logic, reducing future UI rework time by 35% and aligning with modern design standards. Supported backend data optimization in Django, identifying inefficient ORM queries using logs and indexes, which improved response time for critical forms by 25%, especially in clinical data modules. Formed scheduled SQL scripts and automated reporting workflows using Linux scheduling and shell scripting to generate weekly summary and compliance reports, reducing manual work by 40% and ensuring timely, consistent report delivery. Validated APIs using Postman and Swagger, checking error codes and schemas, contributing to a 17% decrease in UAT bugs. Enhanced frontend data entry logic with vanilla JavaScript to include real-time validation, input masks, and conditional rendering, reducing form submission errors by 30% on key hospital applications.

Education

  • Rowan University, Glassboro, NJ
    Master of Science, Computer Science

Services

Industry Focus. “Computer Software”

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