Senior Software Engineer - Java/Spring - AI-Driven Microservices

Sharad Hemant Babar

+1-607-***-**** ******.*@*********.*** LinkedIn Profile Portfolio GitHub Open to Relocate SUMMARY

Software Engineer with 4 years of experience designing full-stack systems across healthcare, financial services, and supply chain domains using Java, Spring Boot, and Spring WebFlux for backend, and React/React Native. Experienced in microservices, REST and GraphQL APIs, event-driven architectures with Apache Kafka and RabbitMQ, and deploying cloud-native solutions using AWS, Docker, Kubernetes, Helm, and CI/CD pipelines. Skilled in AI-assisted document retrieval, prompt engineering, and integrating Generative AI workflows using Hugging Face, LangChain, and vector databases, with strong foundations in Data Structures, Algorithms, System Design, reactive programming, and distributed systems. EXPERIENCE

Johnson & Johnson, New Brunswick, NJ, Hybrid Software Engineer Apr 2025 – Present

• Architected scalable Java 17 Spring Boot microservices for an AI-driven Clinical Knowledge Retrieval Platform indexing medical literature and trial reports, leveraging PostgreSQL and Redis to enable semantic search across 8M+ records with sub-second query response times.

• Implemented secure knowledge access services using Spring Security, OAuth2, and OIDC, developing GraphQL and REST APIs with rate-limiting and audit logging, enabling researchers and clinicians to query clinical insights while enforcing role-based access control.

• Built AI-powered document retrieval pipelines using Hugging Face Transformers, LangChain, and Pinecone vector databases to generate embeddings and enable semantic search across millions of clinical and regulatory documents, reducing medical knowledge discovery time by 40%.

• Strengthened platform resilience using Resilience4j circuit breakers, OpenTelemetry tracing, and Prometheus/Grafana dashboards monitoring 120+ microservice metrics, enabling proactive monitoring of AI inference and ingestion pipelines.

• Developed end-to-end, contract, and load testing pipelines using Cypress, Playwright, and JMeter, validating 50+ API endpoints and high- throughput document ingestion workflows to improve platform reliability and maintain stable system performance.

• Collaborated with the Data Science team to develop AI models and prompt-engineering workflows, integrating clinical datasets and vector embeddings for document summarization and contextual recommendations, improving clinical information retrieval accuracy by 35%. Barclays, India Software Development Engineer Feb 2022 – Jul 2023

• Programmed backend microservices using Java (Spring Boot) for digital wallet top ups, merchant payments, and transaction history APIs, designing scalable, fault-tolerant services with sharding, partitioning, and concurrency controls, supporting 98% SLA, sub-250ms API response times.

• Designed and implemented secure RESTful and GraphQL APIs with JWT/OAuth2 authentication and PCI DSS-compliant tokenization for card and wallet data, incorporating efficient data structures and algorithm optimizations to reduce latency and sensitive data exposure risk by 98%.

• Formed responsive mobile front-end modules using React Native and TypeScript for wallet UI, payment flows, QR scanning, and real-time balance updates with WebSockets and Redux, applying reactive programming and optimized state, increasing transaction completion rate by 22%.

• Engineered real-time payment pipelines with Apache Kafka, Redis caching for session & balance, and PostgreSQL for transactional consistency, using queue partitioning, event-driven design, and distributed caching to achieve reliable sub-200ms balance updates during peak operations.

• Deployed cloud-native infrastructure on AWS using EKS (Kubernetes), API Gateway, Lambda serverless functions, and RDS Aurora with multi-AZ failover, applying system design principles for auto-scaling, high availability, and disaster recovery, achieving 99.99% uptime.

• Established CI/CD pipelines with GitHub Actions, Terraform IaC, automated unit/integration tests (JUnit, Jest), and blue/green releases on Kubernetes, integrating test-driven design to reduce rollback incidents by 60% and ensure production stability. Accenture, India Software Engineer Mar 2020 – Jan 2022

• Integrated third-party carrier APIs, ERP systems, and payment gateways with backend services to enable real-time shipment tracking, order fulfillment updates, and transaction validation, improving on-time delivery visibility by 28%.

• Configured backend microservices using Node.js and Express.js for inventory management, order processing, and logistics workflows, reducing order processing latency by 33% and supporting concurrent warehouse operations.

• Optimized MongoDB data models for warehouses, shipments, and order transactions, implementing indexes, aggregation pipelines, and sharding strategies, reducing inventory query times by 42%.

• Formulated interactive React.js dashboards for supply chain managers to monitor shipments, track inventory levels, and generate analytical reports, increasing operational decision-making efficiency by 22%.

• Led migration of legacy order and inventory data to MongoDB Atlas, designing ETL pipelines that ensured zero data loss, improved multi-region replication, and reduced reporting latency by 30%.

• Orchestrated CI/CD pipelines using Jenkins and GitHub Actions, containerized Node.js services with Docker, and deployed on Kubernetes with Helm charts, enabling automated and consistent deployments across staging and production.

• Executed automated unit and integration tests using Jest and Supertest, achieving 80%+ backend coverage while enforcing JWT-based role-based access control for customers, admins, and vendors, reducing production defects by 33%. SKILLS

Programming & Scripting Languages: Java, Python, JavaScript, TypeScript, SQL, C++ Backend & Service Frameworks: Spring Boot, Spring WebFlux, Node.js, Express.js, GraphQL, gRPC, RESTful API Development, Spring Security, OAuth2, OIDC, Event-Driven Architecture

Distributed Systems & Messaging: Apache Kafka, RabbitMQ, Event-Driven Microservices, Asynchronous Processing, Concurrency Controls Databases & Storage Solutions: PostgreSQL, MongoDB, Redis, DynamoDB, Database Design, Query Optimization, Indexing, Sharding Cloud Infrastructure & DevOps Tools: AWS (EC2, S3, Lambda, EKS, API Gateway, RDS Aurora, CloudWatch), Docker, Kubernetes, Helm, Terraform, CI/CD

(GitHub Actions, Jenkins), Blue/Green & Canary Deployments, Auto-scaling, High Availability AI& LLMs: LangChain, RAG Pipelines, Hugging Face Transformers, OpenAI API, Vector Databases (Pinecone, Weaviate), Prompt Engineering Frontend & UI Development: React, React Native, Next.js, Redux Toolkit, Tailwind CSS, Material UI Testing & QA Tools: Jest, Cypress, Playwright, JUnit, Supertest, Unit/Integration Testing, Contract & Load Testing Monitoring & Observability Tools: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), OpenTelemetry, SLIs/SLOs, Distributed Tracing EDUCATION

Master of Science in Computer Science State University of New York at Binghamton Binghamton, New York Relevant Coursework: Programming for Web, Data Structures and Algorithms, Object-Oriented Programming, Design Patterns.

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