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Sai Sharan Sripada - Full Stack Developer with Devops

[email protected]

Location: Remote, Remote, USA

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Sai Sharan Sripada (656)215-0219 | [email protected] | linkedin.com/in/sharan-sripada | github.com/sharan-sripada WORK EXPERIENCE Software Development Engineer Aug 2025 Present Community Dream Foundation Developed Spring Boot REST APIs using Java, JPA, Hibernate, and Spring Security, implementing core business logic and robust data validation layers. Implemented unit and integration tests using JUnit, Mockito, and Jasmine, increasing code coverage by 30% and reducing production regressions. Built GraphQL APIs (schema + resolvers) with authorization, pagination, and performance optimizations to support scalable frontend workflows. Optimized SQL and NoSQL queries across microservices, reducing API latency by 18% and improving overall system throughput. Configured CI/CD pipelines using GitHub Actions and deployed application components to AWS services. Software Development Engineer II Jan 2022 Aug 2023 Zemoso Technologies Developed a robust backend service with 20+ REST APIs using Node.js, Express.js, and TypeScript, integrating with Angular-based frontend services and reducing response times by 30%. Implemented a cache-aside strategy using Redis, reducing data retrieval latency by 400ms and improving system efficiency by 30%. Engineered event-driven communication using AMQP, RabbitMQ, and Kafka to support real-time features across distributed systems, increasing message delivery efficiency by 25%. Executed end-to-end migration from PostgreSQL to MongoDB, including data pipelines, schema redesign, indexing strategies, and performance tuning to improve scalability and query efficiency. Spearheaded development of an internal NPM package for retrieving environment variables from Kubernetes, integrated across 6 teams with over 1,000 company-wide downloads. Applied Test-Driven Development (TDD) using Jest and Mocha; enforced secure coding standards via Sonar, achieving 95%+ test coverage and maintaining high code quality through peer reviews. Software Development Engineer Jun 2021 Jan 2022 Zemoso Technologies Built CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 40% across multiple teams. Containerized services with Docker and deployed them using Helm charts on Kubernetes (GKE). Designed Spring Boot applications for cloud deployment using AWS ECS and Lambda-backed APIs, implementing configuration management, logging, and monitoring aligned with enterprise standards. Provisioned AWS infrastructure using Terraform, deploying microservices and serverless components with AWS Lambda, API Gateway, S3, DynamoDB, IAM, and CloudFormation-ready templates. Software Engineer May 2019 May 2021 CUREnhancement Developed a web-based application using React.js, state management, and modular routing to manage educational resources, improving usability for 100+ users. Built a scalable backend using Spring Boot, Hibernate, Spring Data JPA, and MySQL to support CRUD operations for 1,000+ resources, improving data retrieval efficiency by 25%. TECHNICAL SKILLS Languages: JavaScript, TypeScript, Java, Python, SQL, NoSQL, C, C++, Go Frameworks: Node.js, Express.js, Spring Boot, React.js, Flutter, REST APIs, GraphQL, Microservices Testing: JUnit, Mockito, Jest, Mocha, Jasmine Databases: PostgreSQL, MongoDB, MySQL, DynamoDB, Redis, Firebase, CassandraDB Cloud & DevOps: AWS (ECS, Lambda, SQS, SNS, IAM, S3), GCP, Docker, Kubernetes, Helm, ArgoCD, Terraform, Jenkins, GitHub Actions Monitoring & Tools: Git, Linux/Unix, Bash, Prometheus, Grafana, ELK, Splunk AI & Data: Pandas, Jupyter, TensorFlow, PyTorchEDUCATION Master of Science in Computer Science Aug 2023 May 2025 University of South Florida, Tampa GPA 4.0 Coursework: Data Structures Algorithms, Databases, Cloud Computing, Networks, Artificial Intelligence (LLMs) PROJECTS Akshayapatra | Java, Kotlin, Android Studio, Firebase, Maven Engineered a user-friendly app for food ordering from the college canteen, integrating Firebase for secure authentication and cutting order processing time by 30%, garnering over 200 users and positive feedback in the first month. Integrated PayPal SDK for secure payments, supporting 1000+ transactions with 99% success rate. PAAD Early Detection System (Psychomotor Agitation in Dementia) | Python, TensorFlow, Keras, Pandas, NumPy Built an Artificial Intelligence (AI) system to predict early signs of Psychomotor Agitation and Aggression in Dementia (PAAD) using sequential healthcare data. Designed and trained an AI model using LSTM neural networks to analyze behavioral patterns and generate predictive insights. Improved prediction accuracy by 20% through model tuning, structured data preprocessing, and validation strategies. Implemented validation metrics (precision, recall, F1-score, ROC-AUC) and cross-validation strategies to ensure model robustness and generalization. Keywords: cprogramm cplusplus continuous integration continuous deployment artificial intelligence javascript sthree golang