Full Stack Java Developer with Cloud & AI Skills

Rajesh Kumar Phone: 773-***-****

Email:****************@*****.***

LinkedIn: linkedin.com/in/rajesh-kumar-devandla

Full Stack java Developer

Objective

A passionate and results-driven Full Stack Developer with over 4+years of experience, proficient in Java, Spring Boot, AWS, Angular, and SQL, with a proven track record of delivering scalable and high-performance applications. Eager to leverage my expertise in both front-end and back-end development to contribute to a dynamic development team while continuing to grow and enhance my technical skills.

Professional Summary

Skilled across the full SDLC including design, development, testing, deployment, and production support using modern web and cloud technologies.

Strong expertise in Java, Spring Boot, Spring MVC, Hibernate, REST APIs, and scalable microservices deployed on AWS.

Experienced in developing responsive front-end applications using Angular 12+, React, TypeScript, HTML, CSS, JavaScript, ensuring seamless UI/UX.

Proficient in AWS Cloud (EC2, S3, DynamoDB, Lambda, SNS, SQS, CloudWatch) with hands-on experience in scalable, cloud-native architecture.

Skilled in container orchestration using Docker & Kubernetes, including monitoring, logging, and performance tuning.

Experienced with Kafka for real-time data streaming, event-driven architecture, and large-scale distributed systems.

Strong command of CI/CD pipelines using Maven, Gradle, Jenkins, GitHub Actions, and Git-based workflows.

Solid understanding of database engineering, including SQL/NoSQL (MySQL, PostgreSQL, Oracle, DynamoDB) and query optimization.

Proficient in Python for API services and automation, including exposure to AI/ML workflows using NumPy, Pandas, and lightweight ML models (e.g., scikit-learn).

Integrated AI-driven components such as recommendation logic, anomaly detection, or data-processing pipelines into Java/Python microservices (based on your actual tech background).

Familiar with LLM-based API integrations (OpenAI, AWS Bedrock) to build AI-assisted application features.

Experienced with TDD, Agile Scrum/Kanban, and DevOps environments.

Adept at debugging complex production issues, improving API performance, and ensuring security & compliance standards.

Strong communication and collaboration skills with cross-functional teams, delivering high-quality software solutions.

Hands-on experience integrating LLM APIs (OpenAI, Claude, Gemini) into backend systems.

Experience building vector-based search using Elasticsearch / Pinecone / DynamoDB + embeddings.

Working knowledge of ML model deployment in microservices using Flask/FastAPI.

Experience building AI-assisted features like chatbots, auto-suggestions, or anomaly detection pipelines.

Familiar with MLOps workflows (CI/CD for models, retraining triggers, monitoring)

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Technical Skills

Category

Skills

Languages

Java (11/1.8), JavaScript, TypeScript, Python, SQL, PL/SQL

Front-End / Web

HTML5, CSS3, JavaScript, Angular 12/13, React.js, Vue.js, jQuery, AJAX, Node.js

Backend / Java EE

Spring Boot, Spring MVC, Microservices, Hibernate, JPA, Servlets, JDBC, JSP, JSF, Spring IOC, Spring AOP, Spring Security

Cloud & DevOps

AWS (EC2, S3, Lambda, DynamoDB, SNS, SQS, CloudWatch), Docker, Kubernetes, Jenkins, Maven, Gradle, Git, GitHub, Bitbucket

AI / Python Tools

Flask, Django, NumPy, Pandas, LLM/AI API Integrations (OpenAI, AWS Bedrock)

Web Services

RESTful APIs, SOAP, WSDL, JAX-RS, JAX-WS

Databases

MySQL, PostgreSQL, Oracle, MongoDB, Cassandra

Tools / IDEs

IntelliJ, Eclipse, Spring Tool Suite (STS), VS Code, Postman, PyCharm

Servers

Apache Tomcat, JBoss, WebLogic, IBM WebSphere

Version Control

Git, Bitbucket

Operating Systems

Windows, Linux, UNIX

Work Experience:

Client: Mutual of Omaha Jan 2025 to Present

Role: Full stack Developer

Responsibilities:

Designing and developing cloud-native backend services using Java, Spring Boot, Spring Cloud, and Microservices architecture. This includes writing modular code, creating reusable components, and ensuring services communicate efficiently with each other.

Building and enhancing front-end applications using React.js and Angular, focusing on improving page load speed, performance, responsiveness, and overall user experience.

Developing and maintaining REST and GraphQL APIs, ensuring they are secure, scalable, and optimized for high traffic.

Implementing AI/LLM integrations into backend services (OpenAI API, AWS Bedrock), enabling features such as automated data extraction, intelligent recommendations, and text processing.

Creating Python-based data pipelines using Pandas and NumPy to preprocess data for AI workflows and backend automation.

Deploying applications using Docker and Kubernetes, writing deployment manifests, handling scaling policies, and ensuring maximum uptime and smooth rollouts.

Working with AWS cloud (Lambda, SQS, SNS, EC2, S3, DynamoDB) to build event-driven architectures, serverless functions, and highly available systems.

Implementing CI/CD pipelines using GitHub Actions and Jenkins to automate testing, packaging, security checks, and production deployment workflows.

Monitoring system performance, debugging production issues, analyzing logs, and implementing fixes to improve reliability.

Collaborating closely with product teams, QA engineers, DevOps, and designers to deliver high-quality software features on schedule.

Environment: Java 17, Spring Boot, Angular, React.js, Microservices, AWS, Docker, Kubernetes, GitHub Actions, Jenkins, Maven, Python, Pandas, NumPy, LLM APIs, JUnit, Agile.

Client: Mutual of Omaha jan2023 to Dec2023

Role: Full stack Developer

Responsibilities:

Built full-stack applications using Angular on the front end and Spring Boot + Java 11 on the backend, ensuring seamless integration between UI and APIs.

Designed and implemented RESTful APIs that improved response times and reduced latency for core customer service applications.

Developed reusable and modular microservices, improving service isolation and deployment efficiency across teams.

Integrated AWS services (Lambda, EC2, S3) to enhance reliability, automate background tasks, and improve scalability.

Implemented AI-driven enhancements such as automated content generation, data validation, or intelligent suggestions using API-driven AI models.

Built asynchronous data streaming flows using Kafka, improving event processing and real-time data movement between services.

Converted existing components into Docker containers and deployed them using Kubernetes, improving deployment control and resource management.

Wrote and executed automated test cases using JUnit and Mockito, significantly reducing defects discovered during manual testing cycles.

Participated in Agile ceremonies, including sprint planning, grooming, retrospectives, and cross-team design discussions.

Collaborated with UI/UX designers to convert visual designs into functional, accessible, and responsive web interfaces.

Environment: Java 11, Angular 12, Spring Boot, AWS (Lambda, S3, EC2), Kafka, Microservices, Docker, Kubernetes, Jenkins, JIRA, GitHub, MongoDB.

Client: MUFG Bank, PUB Bank Feb 2020 to August 2022

Role: Software Engineer

Responsibilities:

Developed complex backend components using Java, Spring Boot, Hibernate, JPA, JDBC, focusing on secure data handling and high throughput.

Created dynamic and responsive user interfaces using React.js, HTML, CSS, JavaScript, increasing client usability and reducing UI load time.

Designed and implemented RESTful Web Services to integrate multiple banking modules, ensuring secure financial data flow across systems.

Migrated legacy monolithic applications into microservices, making the system more modular, scalable, and easier to maintain.

Integrated distributed messaging platforms Kafka and RabbitMQ into the transaction processing pipeline, improving speed and reliability of internal operations.

Optimized SQL queries and database schemas for PostgreSQL, MySQL, and MongoDB, resulting in measurable performance improvements.

Automated tasks and built internal tools using Python (Flask, Django, Pandas), including data-processing scripts that supported analytics and AI-based validations.

Implemented CI/CD pipelines using Jenkins and Git/GitLab, reducing deployment errors and accelerating delivery cycles.

Worked directly with QA teams and business users to gather requirements, validate solutions, and troubleshoot defects in production.

Participated in Scrum ceremonies and played a key role in cross-team collaboration for critical banking releases.

Environment: Java, Spring Boot, React.js, REST APIs, Kafka, RabbitMQ, Node.js, MongoDB, PostgreSQL, AWS, Docker, Jenkins, SQL Server, Pandas, Agile.

Education:

Master of Science in Information Systems & Project Management

DePaul University, Chicago, IL Sept 2022 – Nov 2024

Bachelor of Science In computer science

GITAM University, Hyderabad, India Aug 2017 – Jun 2021

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