Anurag Bhattarai
@anuragbhattarai
Senior Full Stack Java Engineer building cloud-native microservices and LLM-powered systems for enterprise healthcare and beyond.
What I'm looking for
I’m a Senior Full Stack Java Engineer with 6+ years designing and delivering large-scale, cloud-native platforms across healthcare, insurance, and retail. I focus on high-performance microservices architectures using Java and Spring Boot, grounded in distributed systems and scalable API ecosystems.
Over the last few years, I’ve integrated advanced AI/ML capabilities into enterprise applications—building LLM-powered systems with LangChain and LangGraph, deploying RAG pipelines, and automating workflows. In healthcare, I architected patient-data microservices and delivered an LLM clinical decision-support system that enables real-time risk scoring and automated recommendations for care teams.
I also bring a strong engineering leadership mindset: guiding architecture discussions, driving design reviews, and mentoring developers in Agile environments. Whether I’m optimizing performance with Kubernetes and CI/CD automation or bridging backend services with modern React and Angular frontends, my goal is to reduce operational overhead and accelerate delivery cycles.
Experience
Work history, roles, and key accomplishments
Architected a Java 17/Spring Boot patient-data microservices platform and built LLM-powered clinical decision support using LangChain and LangGraph. Implemented RAG pipelines and Kafka-based event-driven streaming, deploying models via AWS SageMaker with REST endpoints consumed by Java services.
Modernized a policy-admin system into 12 independently deployable Spring Boot microservices, improving release cadence and reducing production downtime. Built AI/ML underwriting and fraud-detection integrations, and developed React/Angular customer portals with AWS-backed infrastructure and CI/CD automation.
Built an AI-powered product recommendation system integrating ML outputs into Java microservices and delivered responsive React/Angular frontend experiences. Implemented event-driven recommendation processing and developed AWS Lambda/S3 automation tools for feature engineering and dataset preparation.
Education
Degrees, certifications, and relevant coursework
Southeast Missouri State University
Bachelor of Science in Computer Science, Computer Science
Earned a Bachelor of Science in Computer Science from Southeast Missouri State University. Coursework focused on foundational computer science concepts.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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