Sallagunta Raahul

About Sallagunta Raahul

Software Engineer with 3+ years of experience building scalable, secure, and high-performance applications across healthcare and enterprise domains.I specialize in backend and full-stack development, with strong expertise in Java, Spring Boot, Node.js, FastAPI, and modern frontend frameworks like React and Angular. Over the years, I’ve worked on designing and optimizing microservices-based systems, building robust APIs, and improving system performance, reliability, and security.🧠 What excites me most is integrating AI into real-world software systems. In my current role, I work on healthcare platforms that leverage Large Language Models (LLMs) using OpenAI APIs and Hugging Face to summarize clinical data and automate workflows—helping teams make faster, more informed decisions while maintaining strict security and compliance standards. I have hands-on experience with cloud-native development and DevOps, including AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. I enjoy improving deployment efficiency, reducing production issues, and building systems that scale gracefully under real-world load. I’m known for being a clear communicator, strong problem solver, and collaborative team player. I enjoy working closely with product managers, data scientists, and QA teams to translate business needs into reliable, maintainable software. Currently, I’m focused on building backend-heavy, AI-enabled platforms and am always eager to work on challenging problems involving system design, performance optimization, and intelligent automation.

Experience

1. Software Engineer

   CVS Health

   Aug 2025 — Present

   At CVS Health, I work on the Intelligent Clinical Insights Platform, building secure and scalable systems that support AI-driven healthcare applications.I integrate Large Language Models (LLMs) using OpenAI APIs and Hugging Face to summarize clinical notes and surface actionable insights for internal healthcare systems. I design and develop backend services using Java, Spring Boot, and FastAPI, exposing secure REST and GraphQL APIs that support AI-powered workflows. Security and compliance are central to my work. I implement OAuth2, JWT, and role-based access control (RBAC) to protect sensitive healthcare data. I also improve system performance by optimizing microservices, introducing Redis caching, and implementing Kafka-based asynchronous processing, reducing API response times by 28%. I contribute to cloud-native deployments using Docker, Kubernetes, and GitHub Actions, helping reduce production issues by 35% through improved CI/CD pipelines. I collaborate closely with product owners, data scientists, and QA teams in an Agile environment, ensuring high-quality, reliable feature delivery.

Education

• University at Buffalo

  Master's degree, Computer Science

• Karunya Institute of Technology and Sciences

  Bachelor of Technology - BTech, Computer Science

  2019 — 2023