Available for AI Engineering Roles

Hi, I'm Arivazhagan S

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Senior Java Full Stack Engineer with 5+ years delivering enterprise microservices & REST APIs for global banking and fleet telematics clients — now architecting production-grade Agentic AI systems, MCP servers & RAG pipelines that think, decide, and execute at scale.

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MCP Tools Built
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Years Experience
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Enterprise Clients
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Test Scenarios
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Personal Information

Who's behind the code

arivazhagan.py
@AI_Engineer
class Arivazhagan_S:
    full_name  = "Arivazhagan S"
    title      = "Sr. Java Full Stack & AI Engineer"
    company    = "Wolters Kluwer ELM Solutions"
    experience = "5+ years"
    location   = "Chennai, Tamil Nadu, India"

    contact = {
        "📱 mobile":    "+91 70100 09295",
        "📧 email":     "arivazhaganazhagan98@gmail.com",
        "💼 linkedin":  "linkedin.com/in/ariv98",
        "🌐 portfolio": "ariv98.github.io/ariv98",
    }

    def mission(self):
        return (
            "Architect Agentic AI, MCP & RAG "
            "systems that think, decide, and "
            "execute at enterprise scale."
        )

Building the Future, One Agent at a Time.

Professional Summary

Senior Java Full Stack Engineer with 5+ years delivering enterprise microservices, RESTful APIs & full-stack applications for global banking and fleet telematics clients — Citi Bank, UBS, Zurich, Chubb & PENSKE. Applied AI: architecting production-grade Agentic AI systems, Model Context Protocol (MCP) servers, and Retrieval-Augmented Generation (RAG) pipelines.

Core expertise spans Java, Spring Boot, Microservices & REST APIs through to LLM integration, GitHub Copilot, Agentic AI, MCP, RAG, Azure, Kubernetes, Docker, Kafka, AWS & SQL — bridging the gap between human intent and machine execution.

From designing MCP servers with 240+ tools to building high-accuracy, domain-specific RAG knowledge engines backed by vector databases — I architect systems that solve real enterprise problems.

  • Senior Product Software Engineer · 5+ Years
  • Wolters Kluwer ELM Solutions
  • Chennai, Tamil Nadu, India
  • B.Tech — Information Technology
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Technical Skills

My engineering arsenal

Languages

Java (v11+) Groovy JavaScript SQL Python

Frameworks & Backend

Spring Boot JPA Microservices RESTful APIs Maven JUnit 4/5 Mockito PowerMockito

Frontend

Angular (v8+) TypeScript Bootstrap HTML5 CSS3

Cloud & DevOps

AWS Azure PCF (Pivotal Cloud Foundry) Jenkins CI/CD Pipelines Docker Kubernetes Kafka

Databases

MySQL MS-SQL

Tools & Platforms

VS Code IntelliJ IDEA Ultimate Postman Swagger MySQL Workbench DBeaver SQL Server Mgmt Studio Git GitHub Desktop Bitbucket Jira Confluence Bamboo

AI & Automation

Model Context Protocol (MCP) Agentic AI RAG LLM Integration GitHub Copilot Claude Code Custom AI Agents Agent Skills Sub-agents Instructions Hooks Sessions Contexts Tokenization SpecKit Prompt Engineering AI Workflow Orchestration ChatGPT OpenAI Codex

Practices

Agile Scrum TDD SDLC Code Reviews REST API Design Microservices Architecture DSA OOP
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Agentic AI Engineering, Automation & Achievements

What I've architected at the cutting edge

01

Enterprise MCP Server (240+ Tools)

Designed & built a large-scale Model Context Protocol server with 240+ tools and a custom AI Agent tools orchestrator — enabling AI-agentic development workflows across databases, codebases, REST APIs, DevOps pipelines, monitoring systems & product knowledge bases. Successfully integrated Confluence, Bitbucket, Jira, Jenkins & Azure into the server, reducing manual analysis, design, development, deployment, testing & maintenance effort by 80%.

240+ Tools · 80% Faster
02

Agentic AI Test Automation System

Engineered a fully automated Agentic AI system that performs end-to-end product validation — autonomously generating & executing 20,000+ test scenarios and producing validation reports using Agent Skills & sub-agents, cutting manual QA effort by over 60%.

20K+ Tests · 60% Less QA
03

DataPrivacyShield Middleware

Designed & implemented a security middleware layer for the MCP server that tokenizes & masks PII data before it reaches LLMs — enabling secure AI without exposing sensitive customer data.

PII Secured
04

Custom AI Knowledge Retrieval System

Built a high-accuracy, domain-specific RAG pipeline over multi-GB datasets & source code, backed by a vector database for semantic indexing & retrieval — enabling precise product-level knowledge extraction, contextual search & AI-assisted reasoning at scale.

RAG · Vector DB
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MCP Server on Microsoft Azure

Architected MCP server hosting & deployment on Azure — covering scalability, security, authentication & session management strategies.

Cloud Native
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Custom IntelliJ IDEA Plugin

Designed & developed a custom IntelliJ IDEA Ultimate plugin to enable product development directly within the IDE — reducing dependency on a separate web-based application.

IDE Native
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GitHub Copilot (Expert)

Advanced expertise in GitHub Copilot LLM models, custom Agents, SpecKit, MCP architecture, knowledge extraction, search indexing & AI tool orchestration for real-world enterprise products.

Expert Level
04

Key Projects

Flagship products shipped end-to-end

01

Reserves & Settlements Management

Architected & delivered a core financial tracking module within the enterprise legal management product — a real-time legal financial ledger enabling Citi Bank to track reserve allocations for legal liabilities, record settlement transactions, calculate running balances & generate financial statements across active matters. Productized and rolled out to additional global banking clients.

Wolters Kluwer · Financial
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Configuration Cloning Module

Designed & built an enterprise admin feature for Citi Bank that automates cloning of entire organizational unit setups — role-based security groups, data mappings, conditional UI rules & access controls — reducing manual configuration of 100+ units from hours to a single-click async workflow. Adopted into the core product and sold as a commercial module.

Wolters Kluwer · Productized
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OneApp — Real-Time GPS & Maps

Developed a live GPS tracking module within the Java microservices platform by integrating the Google Maps API with real-time telemetry streams from connected fleet devices — enabling dynamic vehicle location visualization, live route tracking & GPS-based fleet monitoring across the entire PENSKE network in the German market.

Capgemini · Fleet & Telematics
05

Academic Qualifications

The foundation

2020

B.Tech — Information Technology

Jeppiaar SRR Engineering College, Chennai

CGPA 7.34
2016

HSC — Higher Secondary

Sacred Heart Matriculation, Chennai

Score 78.08%
2014

SSLC — Secondary Education

Sacred Heart Matriculation, Chennai

Score 97.4%
06

Professional Experience

Where I've shipped real impact

Oct 2022 — Present

Wolters Kluwer ELM Solutions

Senior Product Software Engineer · Chennai · Direct Payroll

Current Full-time
Clients
CITI Bank Zurich UBS Chubb
Domain
Enterprise Legal Management & Regulatory and Finance
Role
Java Full Stack & Groovy Developer

Backend

  • Architected & delivered end-to-end customizations and integrations for flagship global banking clients across legal, regulatory & finance domains
  • Developed & maintained scalable Java Spring Boot microservices for core product enhancements & client-specific enterprise implementations
  • Engineered P2P system integrations using Java & Groovy for seamless cross-platform data exchange
  • Drove full-cycle delivery — requirements analysis & solution design through implementation, testing & production deployment
  • Executed thorough functional, UAT & post-deployment validation across all client configurations
  • Built the Reserves & Settlements Management System for Citi Bank

Cloud & DevOps

  • Managed Jenkins CI/CD pipelines; monitored Azure-hosted instances for uptime, performance & health
  • Maintained Docker images, performed log analysis & oversaw deployment pipeline configurations

Frontend

  • Delivered client-specific UI customizations using JavaScript, HTML5 & CSS3

Database & Tools

  • Developed SQL scripts, performed data validation & supported DB operations across MS-SQL Server
  • Git workflow — branching, conflict resolution, PRs & code reviews via Git CLI, GitHub Desktop & Bitbucket
  • Hands-on with Jira & Confluence for Agile tracking & documentation

AI

  • Built Custom AI Agents, MCP Servers, Agentic AI & workflow automations on top of the product
Oct 2020 — Oct 2022

Capgemini Technology Services

Senior Analyst · Custom Software Developer · Chennai · Direct Payroll

Full-time
Client
PENSKE Connected Fleet Germany
Domain
Customers, Units, Device Management & Location Services
Role
Java Full Stack REST API Developer with Angular
Training
Officially trained by Capgemini on Full Stack development in Core & Advanced Java with Spring Boot & Angular

Backend

  • Designed & developed Java RESTful APIs from the ground up using Spring Boot microservices — the backbone of PENSKE's fleet management platform for the German market
  • Hands-on with Kafka messaging channels to ingest & process continuous real-time data streams from connected fleet devices
  • Achieved 95% code coverage with comprehensive unit & integration tests using JUnit 4, Mockito & PowerMockito
  • Produced complete Swagger API documentation; performed manual API testing & regression validation via Postman

Cloud & DevOps

  • Manual & automated deployments to PCF via CLI & Bamboo CI/CD pipelines
  • PCF — applications/instances monitoring, health checks, configurations & log monitoring

Frontend

  • Angular frontend development, bug-fixing, testing & deployment support

Database & Tools

  • SQL scripting from scratch & all database operations (MySQL)
  • Git workflow — branching, conflict resolution, PRs & code reviews via Git CLI, GitHub Desktop & Bitbucket
  • Hands-on with Jira, Confluence & Bamboo for Agile delivery
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Let's Connect

Always open to interesting AI & engineering conversations