Sameed Shaik

About Sameed Shaik

Experienced Full Stack Engineer with over 9 years of expertise building scalable, cloud-native applications across healthcare, finance, and retail domains. Skilled in Java (8–22), Spring Boot, Microservices, React, and Angular, with hands-on experience in developing RESTful and gRPC APIs on cloud platforms including AWS, GCP, and Azure. Proficient in all phases of SDLC, Agile methodologies, and test-driven development (TDD). Strong background in designing and implementing distributed systems using Kafka, MongoDB, PostgreSQL, and CI/CD pipelines with Jenkins, GitHub Actions, and Terraform. Known for delivering high-performance applications and collaborating cross-functionally with engineering, QA, and DevOps to ship production-grade solutions. Passionate about solving complex problems with clean, maintainable code and continuous improvement in both process and technology.

Experience

1. Senior Java Developer

   Kroger

   Jul 2023 — Present

   Led development of enterprise microservices and intelligent retail automation tools for inventory, loyalty, and vendor management.• Built secure, high-performance REST and gRPC APIs using Spring Boot, Java 17, and Spring Cloud Gateway for distributed microservices.• Delivered full-stack solutions with React.js, Redux, and reusable UI libraries, streamlining front-end development.• Integrated LLM APIs (OpenAI, LangChain) to power real-time product Q&A and recommendation workflows.• Designed batch ETL jobs with Spring Batch and implemented analytics pipelines using PostgreSQL, Redshift, and MongoDB.• Automated deployments with GitHub Actions, Jenkins, Helm, and Docker, deploying to Kubernetes (EKS) clusters.• Applied observability best practices using OpenTelemetry, Splunk, and Spring Boot Actuator to ensure uptime and traceability.• Used Apache Kafka as the messaging layer between services, enabling asynchronous, decoupled communication and real-time processing.• Designed real-time stream processing pipelines using Kafka Streams API to compute on-the-fly loyalty triggers and inventory thresholds, leveraging Confluent Kafka for schema registry integration, monitoring, and replay capabilities.• Tuned Kafka producer/consumer configurations (batch size, linger.ms, compression.type) to handle high-throughput ingestion of inventory updates, ensuring low-latency delivery with optimized resource usage.• Collaborated with cross-functional teams under Agile, contributing to scalable architecture and accelerated delivery.

Education

• University of Missouri-Kansas City

  Master's degree

• Acharya Nagarjuna University

  Electrical, Electronics and Communications Engineering