---
title: "Aditya Raj Pateriya - Software Engineer in Bengaluru | Tal"
description: "Meet Aditya Raj Pateriya, Backend Software Engineer @ ANZ | Specialized in Java, Spring Boot GCP & Kubernetes | Eliminating Engineering Toil via Agentic AI & LLMs based in Bengaluru. AI stack includes claude code, gemini, and github copilot."
image: "https://tal.club/meet/aditya-raj-pateriya/share-image"
---

# Aditya Raj Pateriya on Tal

## Headline

Backend Software Engineer @ ANZ \| Specialized in Java, Spring Boot GCP & Kubernetes \| Eliminating Engineering Toil via Agentic AI & LLMs

## About

As a Software engineear at ANZ, I focus on developing and maintaining services built with Spring Boot and Spring Batch to streamline multiple stages of the payments lifecycle\. My role also involves working with technologies like Apache Kafka, showcasing my competencies in Java development and backend technologies\. Holding a Bachelor of Engineering in Information Science/Studies from Dayananda Sagar College of Engineering, I bring a strong foundation in software engineering\. Through practical experience and certifications, I continuously enhance my technical expertise, with a commitment to delivering impactful backend solutions\.

## Location

Bengaluru

## AI stack

claude code

gemini

github copilot

langchain

langgraph

openai

## Work experience

Software Engineer at ANZ, Sep 2024 \- Present · 2 yrs 1 mo, Bengaluru, • Languages: Java \(Java 21\), Go, Python, SQL • Frameworks: Spring Boot, Spring Batch, Spring Cloud Stream, Spring AI, LangChain, JUnit • Cloud & Platform: GCP, Kubernetes, OpenShift, Docker, Kafka, Solace, CI/CD • Databases & Tools: MongoDB, Firestore, Splunk, Linux, Git, Jira MCP Key Contributions & Impact: • Service & Cloud Modernization: Modernized 10\+ core banking microservices to Java 21, reducing inter\-service coupling for GCP migration\. Designed GCP migration proposals \(Firestore, MongoDB CDC\) using Docker/Kubernetes\. Built durable, broker\-agnostic messaging patterns with Spring Cloud Stream and Kafka, cutting integration lead time by 4 weeks\. • Payments Onboarding & Performance: Onboarded the NAPAS \(Vietnam\) payment rail for cross\-border expansion\. Built Spring Batch direct MongoDB readers for 15\+ AML/regulatory reports across 6 APAC markets, cutting Starburst compute load by 20%\. Refactored multi\-table SQL joins and profiled queries using Splunk, reducing data retrieval latency by 66% \(30s → 10s\) across 110K\+ datasets\. • AI & Developer Productivity: Built a custom Jira MCP and GitHub Agent integration in Python to manage ticket lifecycles directly within the IDE, reducing context\-switching by 40%\. Prototyped GCP NL2SQL AI pipelines for automated Control\-M XML configuration, saving 10\+ engineering hours monthly\. Standardized docs via Mermaid\-as\-Code, cutting onboarding time by 50%\.

Software Engineer at ANZ\(Australia and New Zealand Banking Group\), Jul 2024 \- Present · 2 yrs 3 mos, Bengaluru, • Languages: Java \(Java 21\), Go, Python, SQL • Frameworks: Spring Boot, Spring Batch, Spring Cloud Stream, Spring AI, LangChain, JUnit • Cloud & Platform: GCP, Kubernetes, OpenShift, Docker, Kafka, Solace, CI/CD • Databases & Tools: MongoDB, Firestore, Splunk, Linux, Git, Jira MCP Key Contributions & Impact: • Service & Cloud Modernization: Modernized 10\+ core banking microservices to Java 21, reducing inter\-service coupling for GCP migration\. Designed GCP migration proposals \(Firestore, MongoDB CDC\) using Docker/Kubernetes\. Built durable, broker\-agnostic messaging patterns with Spring Cloud Stream and Kafka, cutting integration lead time by 4 weeks\. • Payments Onboarding & Performance: Onboarded the NAPAS \(Vietnam\) payment rail for cross\-border expansion\. Built Spring Batch direct MongoDB readers for 15\+ AML/regulatory reports across 6 APAC markets, cutting Starburst compute load by 20%\. Refactored multi\-table SQL joins and profiled queries using Splunk, reducing data retrieval latency by 66% \(30s → 10s\) across 110K\+ datasets\. • AI & Developer Productivity: Built a custom Jira MCP and GitHub Agent integration in Python to manage ticket lifecycles directly within the IDE, reducing context\-switching by 40%\. Prototyped GCP NL2SQL AI pipelines for automated Control\-M XML configuration, saving 10\+ engineering hours monthly\. Standardized docs via Mermaid\-as\-Code, cutting onboarding time by 50%\.

Graduate Engineering Trainee at ANZ, Jul 2024 \- Aug 2024 · 2 mos, Bengaluru, Karnataka, India

Fontend developer Angular at EchoApp, Mar 2024 \- Jun 2024 · 4 mos, Bengaluru, Karnataka, India

Frontend Developer at Echo App, Mar 2024 \- Jun 2024 · 4 mos, UI Development: Built responsive Angular components in collaboration with stakeholders, translating business requirements into production\-ready user interfaces across multiple feature modules\. Business Intelligence: Developed PowerBI dashboards to visualize key business metrics, enabling data\-driven decision\-making for end\-users and stakeholders\.

## Education

Bachelor of Engineering, Information Science/Studies, Dayananda Sagar College of Engineering, BANGALORE

Higher secondary, christian english college\(ICSE\) chhatarpur MP

[View the original profile](https://tal.club/meet/aditya-raj-pateriya)

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