Mahesh D N

·         Developed React-Router techniques using the Axios service to retrieve data from the server synchronously in the background without interfering with the display or existing page in an interactive way. ·         Developed and deployed microservices with Spring Boot and Java 11 for real-time package tracking across medical facilities. ·         Implemented AWS ECS, S3, API Gateway, and Route 53 for cloud-native deployment. ·          Used Terraform for infrastructure as code and automated environment provisioning. ·          Integrated secure authentication using JWT & Spring Security. ·          Built and maintained CI/CD pipelines with Jenkins, Git, and Docker. ·          Monitored logs and performance with Splunk and APM tools. ·         Performed unit testing (JUnit, Mockito) and BDD testing (Cucumber) to ensure high code quality. ·         Worked on a Java Lambda that watches an AWS S3 bucket and triggers a SOAP request when a new file has been detected. Created a Lambda job to move files from AWS S3 to Glacier. ·         Deployment of S3 buckets, utilization of S3 buckets, and Glacier for storage and backup on AWS. ·         Deployed EC2 instance provisioning on the AWS environment, implemented security groups, and administered Amazon VPCs. ·         Followed Test-Driven Development (TDD) using JUnit 5, Mockito, and PowerMock for Java and the Spock framework for Apache Groovy applications. ·         Led the development of docking the product along with binaries Elasticsearch, Hadoop, and MySQL 8.

Worked on Agile methodology, actively participating in the design, development, implementation, and testing of enterprise applications. Developed end-to-end Generative AI solutions for customer support, knowledge management, and document processing applications. Built AI agents capable of performing multi-step reasoning and task execution using LangGraph workflows. Designed scalable RAG architectures to retrieve information from enterprise knowledge bases and internal repositories. Implemented intelligent document parsing and metadata extraction from PDFs, emails, and business documents. Created custom tools and agents for database querying, API integration, and workflow automation. Developed conversational AI assistants with session management, context awareness, and conversation history tracking. Integrated vector databases and embedding models for semantic search and similarity matching. Automated data extraction, summarization, classification, and content generation processes using LLMs. Designed human-in-the-loop workflows to improve accuracy and governance of AI-generated responses. Developed prompt templates and reusable chains for various business use cases. Built event-driven AI workflows and agent orchestration frameworks using LangGraph state management. Integrated AI applications with cloud services, data warehouses, and enterprise applications. Performed model evaluation, prompt tuning, and response quality testing to improve business outcomes. Implemented guardrails, content filtering, and validation mechanisms for secure AI deployments. Developed AI-powered recommendation and decision-support systems. Created monitoring dashboards for tracking model performance, token usage, and operational

·        Participated in all phases of the Software Development Life Cycle (SDLC), including requirements gathering, design, analysis, and coding.   Designed and implemented REST APIs for telecom billing, provisioning, and customer data management.  Integrated microservices with AWS S3, Aurora, and API Gateway for high-performance data processing.  Managed deployments with Docker, Jenkins pipelines, and Kubernetes.  Performed TDD/BDD testing using JUnit and Cucumber.  Optimized backend performance with Spring Batch and MQ for bulk data processing. Designed and maintained CI/CD pipelines using Jenkins, Gradle, ANT, and GitHub. ·        Developed asynchronous RESTful web services (HTTP) for data transfer and tested them using XML and JSON formats. ·        Wrote and optimized SQL queries for business reporting, ensuring performance improvements across databases like SQL Server and Oracle.

Deploy applications to cloud platforms (AWS, Azure, GCP) using Docker, Kubernetes, or CI/CD pipelines (Jenkins, GitHub Actions). Work in Agile/Scrum teams, attending daily stand-ups, sprint planning, and retrospectives. Maintain clear technical documentation for code, APIs, and application architecture. Collaborate with QA engineers, business analysts, and other developers for smooth project delivery. Build and maintain RESTful and SOAP APIs using Java, Spring Boot, and Hibernate Implement business logic, data persistence, and service layers for enterprise applications. Optimize database queries and manage relational or NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB). Integrate Java backend with frontend technologies like Angular, React, or JSP. Develop responsive and interactive user interfaces when required. Write and execute unit tests and integration tests using JUnit, Mockito, or TestNG. Debug, troubleshoot, and resolve performance bottlenecks or application errors. Implement authentication and authorization mechanisms using Spring Security, JWT, and OAuth2. Ensure applications comply with industry standards, security best practices, and regulatory requirements.