Sathvik Reddy Kakulavaram
js, and cloud technologies. I have contributed to 10+ successful projects impacting 50,000+ users across multiple domains.
About
I am a Full Stack Engineer with 3+ years of experience designing and delivering scalable, high-performance web applications and enterprise solutions using Java, Spring Boot, Python, FastAPI, React.js, and cloud technologies. I have contributed to 10+ successful projects impacting 50,000+ users across multiple domains.
I excel at bridging frontend and backend, with hands-on experience across HTML5, CSS3, JavaScript, TypeScript, RESTful APIs, and databases. I continuously optimize application performance, improve user engagement, and advocate for DevOps practices with Docker, AWS, GCP, and CI/CD pipelines, while keeping security and quality at the forefront.
- 3 years' experience
- Joined February 2026
Skills· 16
Languages
- EnglishFluent
Industry experience
- Healthcare
- Software & Internet
- Professional Services
- Education
More experts in San Jose, United States
Work experience
Developed internal configuration-driven applications using React.js, TypeScript, and Tailwind CSS, enabling non-technical business users to manage rosters, rules, and output settings through intuitive, role-based interfaces. Built backend services with FastAPI for roster management, validation, and dynamic SQL generation to drive automated data extraction workflows. Designed Cloud SQL (PostgreSQL) schemas in GCP for roster metadata, ensuring data integrity, auditability, and scalable performance. Integrated backend services with Airflow DAGs to automate data extraction and file generation pipelines, deployed via Docker and CI/CD in a secure enterprise environment. Applied AI-assisted development and rule-based validation to reduce manual errors and accelerate feature development. Collaborated with product managers, data engineers, and QA in an Agile setting to deliver compliant enterprise releases.
Developed Java-based automation workflows using Spring Boot and Hibernate to streamline credentialing, reducing manual effort by 45% and shortening provider onboarding from weeks to days across multiple health systems. Built and tuned machine learning models to analyze provider and payer data, improving credential verification accuracy by 38% and ensuring HIPAA/NCQA/state compliance for over 1,500 providers. Implemented BERT and GPT-powered NLP models in a healthcare virtual assistant to automate patient queries, achieving 85% response accuracy and cutting average resolution time. Deployed an LLM-powered contact-center automation system on AWS with Lambda, DynamoDB, and API Gateway, applying GPT-4 prompt engineering and LangChain to automate support triage. Collaborated with clinicians, operations, and engineering teams to translate requirements into scalable, secure solutions.
Created and optimized RESTful microservices using Java and Spring Boot, integrating GraphQL to minimize redundant data fetching, improve API efficiency, and reduce response times by 25%, ensuring smooth operations for high-traffic enterprise applications. Engineered scalable data access layers using Hibernate ORM, designing entity mappings, relationships, and caching strategies to ensure reliable handling of complex transactional data, improving query performance by 35% and supporting enterprise operations. Designed and optimized complex SQL queries, indexes, and stored procedures across PostgreSQL and MySQL databases, reducing query execution time by 40x and improving data retrieval efficiency for analytics and transaction-heavy enterprise systems. Secured cloud-hosted APIs with OAuth2 and JWT, implementing robust multi-tenant access controls to prevent unauthorized access and ensure compliance with enterprise security standards, reducing security incidents by 22%. Actively participat
Education
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