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I'm a results-driven AI and Full-Stack Developer with 3+ years of experience designing and delivering scalable, cloud-native applications across financial and healthcare domains, including digital banking, pension management, and claims processing systems. I specialize in Java (8–17), Spring Boot, and React.js, delivering backend microservices and responsive frontends that power high-performance web apps. I'm hands-on with generative AI and LLM-based systems, building RAG pipelines, prompt-engineering workflows, and LangChain/AWS Bedrock integrations for intelligent automation. I have experience designing predictive analytics models for revenue forecasting and risk scoring (Python, Pandas, NumPy, PyTorch, TensorFlow) and serving them via FastAPI microservices. I also work with AWS and a wide range of databases, pursue CI/CD automation and DevOps practices, and collaborate in Agile teams to deliver production-ready features with strong security and compliance.…I'm a results-driven AI and Full-Stack Developer with 3+ years of experience designing and delivering scalable, cloud-native applications across financial and healthcare domains, including digital banking, pension management, and claims processing systems. I specialize in Java (8–17), Spring Boot, and React.js, delivering backend microservices and responsive frontends that power high-performance web apps. I'm hands-on with generative AI and LLM-based systems, building RAG pipelines, prompt-engineering workflows, and LangChain/AWS Bedrock integrations for intelligent automation. I have experience designing predictive analytics models for revenue forecasting and risk scoring (Python, Pandas, NumPy, PyTorch, TensorFlow) and serving them via FastAPI microservices. I also work with AWS and a wide range of databases, pursue CI/CD automation and DevOps practices, and collaborate in Agile teams to deliver production-ready features with strong security and compliance.

Saranya Chakravarthy Korrapati

Full Stack Developer, Web Developer, Back-End Developer, +5

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I'm a results-driven AI and Full-Stack Developer with 3+ years of experience designing and delivering scalable, cloud-native applications across financial and healthcare domains, including digital banking, pension management, and claims processing systems. I specialize in Java (8–17), Spring Boot, and React.js, delivering backend microservices and responsive frontends that power high-performance web apps. I'm hands-on with generative AI and LLM-based systems, building RAG pipelines, prompt-engineering workflows, and LangChain/AWS Bedrock integrations for intelligent automation. I have experience designing predictive analytics models for revenue forecasting and risk scoring (Python, Pandas, NumPy, PyTorch, TensorFlow) and serving them via FastAPI microservices. I also work with AWS and a wide range of databases, pursue CI/CD automation and DevOps practices, and collaborate in Agile teams to deliver production-ready features with strong security and compliance.…I'm a results-driven AI and Full-Stack Developer with 3+ years of experience designing and delivering scalable, cloud-native applications across financial and healthcare domains, including digital banking, pension management, and claims processing systems. I specialize in Java (8–17), Spring Boot, and React.js, delivering backend microservices and responsive frontends that power high-performance web apps. I'm hands-on with generative AI and LLM-based systems, building RAG pipelines, prompt-engineering workflows, and LangChain/AWS Bedrock integrations for intelligent automation. I have experience designing predictive analytics models for revenue forecasting and risk scoring (Python, Pandas, NumPy, PyTorch, TensorFlow) and serving them via FastAPI microservices. I also work with AWS and a wide range of databases, pursue CI/CD automation and DevOps practices, and collaborate in Agile teams to deliver production-ready features with strong security and compliance.

Available to hire

I’m a results-driven AI and Full-Stack Developer with 3+ years of experience designing and delivering scalable, cloud-native applications across financial and healthcare domains, including digital banking, pension management, and claims processing systems. I specialize in Java (8–17), Spring Boot, and React.js, delivering backend microservices and responsive frontends that power high-performance web apps.

I’m hands-on with generative AI and LLM-based systems, building RAG pipelines, prompt-engineering workflows, and LangChain/AWS Bedrock integrations for intelligent automation. I have experience designing predictive analytics models for revenue forecasting and risk scoring (Python, Pandas, NumPy, PyTorch, TensorFlow) and serving them via FastAPI microservices. I also work with AWS and a wide range of databases, pursue CI/CD automation and DevOps practices, and collaborate in Agile teams to deliver production-ready features with strong security and compliance.

Skills

Experience Level

Expert

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Expert

Language

English

Fluent

Work Experience

AI Engineer at Spatial Front Inc., MD

February 1, 2025 - November 7, 2025

Engineered end-to-end MLOps pipelines using MLflow, AWS SageMaker, and Vertex AI to streamline experiment tracking, model deployment, and CI/CD automation via GitHub Actions, Docker, and Kubernetes. Developed FastAPI-based LLM microservices for medical text summarization and automated documentation, integrating AWS Bedrock and OpenAI APIs through LangChain orchestration. Built Retrieval-Augmented Generation (RAG) systems with LangChain and FAISS to improve medical Q&A accuracy by 30%. Implemented ETL/ELT workflows with AWS Glue, PySpark, and Apache Airflow to process large-scale hospital data and populate Redshift + S3 data lakes. Integrated NLP features into HIPAA-compliant healthcare apps, with fine-grained access control and audit trails. Improved factual accuracy via prompt engineering and context management, reducing hallucinations by 25%. Designed real-time data pipelines with Apache Kafka and Redis Streams, enabling continuous feature updates for risk assessment dashboards. Crea

Full Stack Developer at Tata Consultancy Services, India

November 1, 2023 - November 1, 2023

Led modernization of a cloud-ready insurance and pension platform using Spring Boot, Java 17, Hibernate, and Oracle for 25,000+ users. Built modular React components with Redux/Hooks for policy and claims dashboards. Implemented RESTful microservices with Spring Security (OAuth 2.0) and asynchronous notifications; used Redis caching to cut latency by ~40%. Designed AWS Lambda automation pipelines with SQS/CloudWatch for policy recalculations and archival, reducing manual processing time by 50%. Established CI/CD with Jenkins and SonarQube; integrated Resilience4j for resilience and Prometheus/Grafana for monitoring. Wrote unit/integration tests with JUnit/Mockito achieving 95%+ code coverage and enforcing secure API practices with SSL/TLS and OpenAPI docs.

Full Stack Developer at Tata Consultancy Services

November 1, 2023 - November 1, 2023

Led the architecture and modernization of a cloud-ready insurance and pension platform using Spring Boot, Java 17, Hibernate, and Oracle, digitizing core workflows (pension enrollment, policy issuance, claim settlements) across multiple divisions for 25,000+ users. Developed modular React.js components with Redux and hooks, optimized state management and rendering for complex dashboards. Built resilient RESTful microservices with Spring Security (OAuth 2.0), secured data transfer, and asynchronous claim notifications. Implemented Redis caching and query optimization to improve latency, designed AWS Lambda automation pipelines (SQS, CloudWatch Events, Batch Jobs), and reduced manual processing time. Established CI/CD with Jenkins, integrated SonarQube, and implemented Resilience4j-based circuit breakers and fallbacks. Enforced end-to-end API security and produced OpenAPI documentation for standardized endpoints.