Senior AI/Java Full-Stack Engineer (Remote)

KAMINIBEN BHAVSAR

AI ENGINEER SENIOR JAVA FULL STACK DEVELOPER

**********@*****.*** 601-***-**** LinkedIn

PROFESSIONAL SUMMARY

• Senior software engineer with 8+ years of experience building enterprise applications and cloud-native solutions using Java, Python, Spring Boot, REST APIs, microservices, AWS, Angular, React, SQL and NoSQL databases.

• Hands-on experience applying AI capabilities to enterprise workflows, including Amazon Q for natural-language workflow automation, reporting, data insights, prompt-driven task execution and developer productivity.

• Experience with Python-based data processing and automation, API development, event-driven architectures, scalable data workflows, SQL/NoSQL data management, and integration of intelligent capabilities into production business applications.

• Strong software engineering foundation across SDLC, Agile/SAFe delivery, automated testing, CI/CD, Docker, Kubernetes, AWS, Terraform, CloudFormation, monitoring and production support.

• Experienced collaborating with cross-functional teams, mentoring developers, participating in code reviews, translating business requirements into technical solutions, and documenting enterprise systems.

AI / MACHINE LEARNING & GENAI

• Generative AI / LLM Integration: Amazon Q, prompt-driven workflow automation, natural-language reporting, business insights and AI-assisted developer productivity.

• AI Application Engineering: AI service integration, prompt-driven workflows, API integration, data preparation, automation and enterprise application integration.

• Python: data processing scripts, reporting automation, backend utilities and workflow automation.

• Data & Analytics: SQL, ETL/data processing, relational and NoSQL data, data modeling, reporting, Elasticsearch and Splunk operational insights.

• Production Engineering: API-based deployment, testing, CI/CD, Docker, Kubernetes, AWS infrastructure, logging, monitoring, troubleshooting and operational support.

Qualification note: The source resume documents Amazon Q/GenAI integration and Python/data-processing experience, but does not document hands-on PyTorch/TensorFlow model training, LangChain/LangGraph RAG, SageMaker/Vertex AI/Azure ML, model-drift monitoring, canary/shadow deployment, or formal AI SLO/quality metrics. These are not presented as claimed experience.

TECHNICAL SKILLS

Languages: Java 8+, Python, JavaScript, TypeScript, SQL, HTML5, CSS3

AI / GenAI: Amazon Q, prompt-driven automation, AI workflow integration, natural-language reporting, AI-assisted developer productivity

Backend: Spring Boot, Spring MVC, Spring Security, Spring Core/IOC, REST APIs, GraphQL, Hibernate, JPA, JDBC, Microservices

Frontend: Angular, React, TypeScript, JavaScript, Bootstrap

Databases: Oracle, SQL Server, DB2, MySQL, PostgreSQL, MongoDB, DynamoDB

Cloud: AWS EC2, S3, Lambda, DynamoDB, API Gateway, IAM, EKS, ELB, SQS, CloudWatch, Elastic Beanstalk, ECS

DevOps / MLOps Foundation: Git, GitLab CI/CD, Jenkins, AWS CodePipeline, CodeBuild, CodeDeploy, Docker, Kubernetes, Terraform, CloudFormation, Maven, Nexus

Messaging / Data: Apache Kafka, RabbitMQ, JMS, SQS, Spark

Testing / Observability: JUnit, Mockito, PowerMock, JMeter, Selenium, Splunk, ELK, Log4J

Security: Spring Security, AWS IAM, Cognito, role-based access control, authentication and authorization

PROFESSIONAL EXPERIENCE

United Parcel Service (UPS), Louisville, KY Sr. Java Full Stack Developer March 2021 – Present

• Developed and supported enterprise full-stack applications using Java, Spring Boot, Angular, Python, Oracle and AWS across the complete SDLC.

• Integrated Amazon Q into enterprise workflows to enable natural-language automation for ticketing, executive reporting, workflow execution and business insights.

• Used AI-driven prompts to trigger workflows, curate business data and generate insights, with reported accuracy of approximately 70–95% for applicable use cases.

• Wrote Python scripts for data processing and recurring reporting automation, reducing manual effort and improving repeatability of operational tasks.

• Designed and developed RESTful APIs and Spring Boot microservices using Spring MVC, Spring Core/DI and Spring Security.

• Supported an AWS-deployed fleet management solution for real-time freight tracking, automated billing and route optimization through REST APIs.

• Managed AWS infrastructure including EC2, S3, IAM, EKS and ELB; defined security groups to support secure deployments.

• Performed unit testing with JUnit and participated in code reviews, mentoring and Agile/SAFe team coordination.

• Built responsive Angular interfaces and integrated frontend applications with backend APIs.

• Worked with Hibernate/HQL and complex Oracle SQL, stored procedures and data operations.

BancorpSouth, Tupelo, MS Sr. Java Full Stack Developer May 2020 – February 2021

• Developed secure banking applications using Java 8, Spring Boot, Spring Security, React, Angular, REST APIs, MySQL, Oracle and AWS.

• Migrated monolithic applications toward Spring Boot microservices and deployed distributed services on AWS.

• Implemented event-driven communication using Apache Kafka, RabbitMQ and ActiveMQ/JMS; used AWS SQS for decoupled messaging.

• Worked with Apache Spark for large-scale data processing and enterprise application workflows.

• Created Docker containers and configured Kubernetes for deployment, orchestration and scaling of microservices.

• Built REST APIs consumed by Angular and React applications and implemented authentication, account management and fund-transfer modules.

• Implemented automated testing with JUnit and Mockito and supported CI/CD using Jenkins, Maven/Nexus and Git.

Forestry Suppliers, Inc., Jackson, MS Sr. Full Stack Java Developer January 2018 – April 2020

• Developed scalable e-commerce applications using Java, Spring Boot, Angular, React, REST/GraphQL APIs and AWS services.

• Built AWS Lambda and DynamoDB solutions for order and inventory management and deployed Docker-based applications on AWS EC2, Elastic Beanstalk and ECS.

• Developed RESTful APIs and GraphQL services supporting distributed enterprise applications and integrated multiple backend services.

• Configured AWS resources with CloudFormation and Terraform and supported CI/CD using Maven, Nexus and Jenkins.

• Built Splunk dashboards for monitoring, reporting and operational insights and implemented secure access using Spring Security and SSO.

• Developed unit tests using JUnit, Mockito and PowerMock following TDD practices.

Genesco Inc., Nashville, TN Java / J2EE Developer June 2016 – December 2017

• Developed enterprise web applications using Java/J2EE, Spring MVC, Hibernate, React JS, JavaScript, REST/SOAP services and DB2.

• Implemented RESTful services, asynchronous JMS messaging, database integrations and reusable React components.

• Contributed to end-to-end event tracing and usage metrics for application analysis.

• Supported automated regression testing with Selenium and CI/CD using Jenkins.

Pinnacol Assurance, Denver, CO Java Developer June 2015 – May 2016

• Gathered requirements, contributed to high-level design, developed Java/J2EE modules and supported testing and deployment.

• Designed database schemas and developed complex SQL queries, stored procedures, triggers and functions.

• Supported reporting applications using Java/JSP/JavaScript and deployed applications on IBM WebSphere.

EDUCATION

JNTUH College of Engineering, Hyderabad — Computer Science, 2002

AI ENGINEER JOB ALIGNMENT

• Strong match: Python/Java engineering, REST APIs, enterprise integration, AWS, Docker, Kubernetes, CI/CD, SQL/NoSQL, Spark, Agile/SAFe, Angular/React and Amazon Q/GenAI integration.

• Partial match: AI operational readiness, observability and production AI governance are supported primarily through general cloud/application monitoring and production engineering.

• Potential gaps to address only if supported by actual experience: PyTorch/TensorFlow, ML algorithms/model training, feature engineering/model evaluation, LangChain/LangGraph, RAG/vector databases, SageMaker/Vertex AI/Azure ML, model drift, model lineage, AI-specific SLOs, groundedness/faithfulness metrics, adversarial testing and canary/shadow deployments.

Contact this candidate