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Hi, I’m Sai Sriya, an AI Software Engineer focused on healthcare technology. I design and ship enterprise-grade microservices, RESTful APIs, and AI-powered modules using Java, Spring Boot, Hibernate, Node.js, React, Python, and cloud platforms like AWS to improve clinician workflows and patient outcomes. I enjoy turning complex data into actionable insights, building interactive dashboards with FastAPI and React, and integrating AI/LLM capabilities into production systems. I’m a collaborative problem-solver who thrives in cross-functional teams and is always eager to learn new technologies.…Hi, I’m Sai Sriya, an AI Software Engineer focused on healthcare technology. I design and ship enterprise-grade microservices, RESTful APIs, and AI-powered modules using Java, Spring Boot, Hibernate, Node.js, React, Python, and cloud platforms like AWS to improve clinician workflows and patient outcomes. I enjoy turning complex data into actionable insights, building interactive dashboards with FastAPI and React, and integrating AI/LLM capabilities into production systems. I’m a collaborative problem-solver who thrives in cross-functional teams and is always eager to learn new technologies.

Sriya Sai

AI Engineer, Full Stack Developer, Back-End Developer, +2

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Hi, I’m Sai Sriya, an AI Software Engineer focused on healthcare technology. I design and ship enterprise-grade microservices, RESTful APIs, and AI-powered modules using Java, Spring Boot, Hibernate, Node.js, React, Python, and cloud platforms like AWS to improve clinician workflows and patient outcomes. I enjoy turning complex data into actionable insights, building interactive dashboards with FastAPI and React, and integrating AI/LLM capabilities into production systems. I’m a collaborative problem-solver who thrives in cross-functional teams and is always eager to learn new technologies.…Hi, I’m Sai Sriya, an AI Software Engineer focused on healthcare technology. I design and ship enterprise-grade microservices, RESTful APIs, and AI-powered modules using Java, Spring Boot, Hibernate, Node.js, React, Python, and cloud platforms like AWS to improve clinician workflows and patient outcomes. I enjoy turning complex data into actionable insights, building interactive dashboards with FastAPI and React, and integrating AI/LLM capabilities into production systems. I’m a collaborative problem-solver who thrives in cross-functional teams and is always eager to learn new technologies.

Available to hire

Hi, I’m Sai Sriya, an AI Software Engineer focused on healthcare technology. I design and ship enterprise-grade microservices, RESTful APIs, and AI-powered modules using Java, Spring Boot, Hibernate, Node.js, React, Python, and cloud platforms like AWS to improve clinician workflows and patient outcomes.

I enjoy turning complex data into actionable insights, building interactive dashboards with FastAPI and React, and integrating AI/LLM capabilities into production systems. I’m a collaborative problem-solver who thrives in cross-functional teams and is always eager to learn new technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Software Engineer at CVS Health

October 1, 2024 - Present

Led development of an AI-powered clinical document automation and patient insights platform. Designed and deployed microservices, RESTful APIs, and AI modules to process 25K+ clinical notes weekly and streamline patient workflows across multiple hospital departments. Implemented role-based access control, input validation, and logging; built internal dashboards with FastAPI and React to visualize >50 operational metrics daily, enabling reliable, data-driven decision making.

Software Engineer at LTIMindtree

June 1, 2021 - August 1, 2023

Developed a multi-module healthcare platform using Spring Boot microservices and Node.js integrations; built Kafka pipelines for real-time vitals and appointments; created secure REST APIs and dashboards supporting 15K+ patient registrations and 50K+ vitals entries. Established containerized CI/CD pipelines with Docker, Kubernetes, and Jenkins/GitHub Actions, enabling scalable deployments. Led the Autonomous AI Assistant for Indoor Navigation project, leveraging ROS 2, LangChain, LlamaIndex, VectorDB, OpenCV, Gazebo, RViz, and RAG with a FastAPI backend.