Building reliable systems for the AI + cloud era

Software Engineer
Backend · Cloud · AI

I design and build scalable fintech systems, distributed services and AI-powered applications using Java, Spring Boot, microservices, Kafka, Azure, Kubernetes, React.js and Agentic AI.

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chinmoy@engineer:~$ portfolio
// production mindset
const engineer = {
  name: 'Chinmoy Talukdar',
  focus: ['Backend', 'Cloud', 'AI'],
  stack: 'Java + Spring + Kafka',
  scale: '200K+ req/day',
  projects: '3+ end-to-end',
  mindset: 'Build. Measure. Improve.'
};
status() => 'ready to build'
500K+peak requests/day handled
3+end-to-end projects
88%unit test coverage achieved
42%deployment reduction in one service
01 / About

Engineering with
systems thinking.

A backend-first engineer with hands-on experience across banking modernization, payments, cloud-native systems and applied AI.

Profile

I am a Software Engineer focused on building dependable, high-performance software. I have worked on 3+ end-to-end projects spanning core banking, cards and payments, payment wallets, cloud-native microservices and AI-powered internal platforms.

My approach combines OOP, SOLID, DDD, design patterns, data structures and algorithms with pragmatic engineering: observable services, resilient APIs, automated testing and CI/CD.

Java 17Spring BootKafka AzureKubernetesReact.js PythonAgentic AIRAG
200K+average requests/day on core banking workloads
500K+average requests/day on high-traffic payment systems
90%stakeholder satisfaction on a major modernization stream
30%manual HR effort reduced through an AI-powered portal
02 / Tech stack

Tools I build with.

A production-oriented stack covering backend engineering, cloud infrastructure, frontend delivery and modern AI.

JV

Java Backend

Java 17, OOP, SOLID, Streams, Lambdas, Collections, CompletableFuture.

SB

Spring Ecosystem

Spring Boot, Spring Security, Spring Data JPA, Spring Cloud, REST APIs.

MS

Microservices

Domain-driven design, resilient services, circuit breakers, rate limiting and distributed patterns.

KF

Event Driven

Kafka messaging, asynchronous workflows, retries, alerts and decoupled domain communication.

AZ

Cloud & DevOps

Azure, AKS, Kubernetes, Docker, CI/CD and cloud-native deployment practices.

JS

JavaScript

JavaScript and React.js for dashboards, web experiences and frontend integration.

AI

Agentic AI

Python, LangChain, RAG, agent workflows and Pinecone for AI-powered applications.

DB

Data & Testing

MySQL, PostgreSQL, H2, database indexing, JUnit, Mockito and high-coverage testing.

03 / Experience

Shipping software
that matters.

Experience across NatWest Bank, Publicis Sapient and Samsung, primarily in banking, payments and distributed backend systems.

Software Engineer
NatWest Bank
DEC 2025 — PRESENT
Single Euro Payment Area (SEPA)
  • Worked on critical camt.029 and camt.056 payment flows within SEPA processing.
  • Implemented and enhanced duplicate checks, sanctions handling, Step2 CSM processing and CSM reachability.
  • Worked across payment routing, retry mechanisms, alerts and resilient payment-processing workflows.
Software Engineer
Publicis Sapient · One Savings Bank Modernization, UK
APR 2023 —NOV 2025
  • Designed complex core banking and fintech workflows including transactions, suspense accounts and account closures using Domain-Driven Design.
  • Applied OOP, SOLID principles and design patterns to build scalable, fault-tolerant applications deployed on Kubernetes through CI/CD.
  • Optimized business logic and distributed flows for an average of 200K+ requests/day while reducing network overhead and operational cost.
  • Architected Java 17 microservices for loan repayment, fund transfers and file generation using lambdas, collections and streams.
  • Enhanced high-traffic REST endpoints using Kafka, distributed patterns and database indexing; achieved 88% unit test coverage.
  • Delivered savings and loan account lifecycle journeys with eligibility checks, audit logging and tax-saving product logic using Java, Spring Boot and MySQL.
  • Built an AI-powered HR portal in Python using Agentic AI and Pinecone, reducing manual HR effort by 30%.
  • Created AI agents with LangChain and RAG for autonomous decision-making and task execution.
Associate Software Engineer
Publicis Sapient · Lloyds Bank Modernization, UK
JUL 2022 — MAR 2023
  • Engineered scalable dashboards and official web pages using React.js, React Router, Virtual DOM, components, useEffect and Higher-Order Components.
  • Built a fraud-detection module using Java 17 and data structures and algorithms to validate card numbers without database queries.
  • Designed RESTful microservices using Spring Boot and Spring Data JPA with SOLID principles and design patterns.
  • Implemented schedulers, circuit breakers, rate limiters and optimized database queries for systems handling 500K+ requests/day.
  • Improved test coverage using JUnit and deployed microservices to Azure Kubernetes Service (AKS).
Software Engineer
Samsung · Delhi
JAN 2022 — JUN 2022
  • Contributed to Samsung Payment Wallet feature development using Spring Boot, Kafka, Docker, Spring Cloud and Spring Actuator.
  • Worked with Agile development and Test-Driven Development practices.
  • Architected and deployed a backend service using microservice patterns, MySQL and Spring Cloud Config for dynamic runtime configuration.
  • Reduced deployments by 42% through runtime configuration improvements.
04 / Selected work

From idea to
production.

A selection of engineering themes represented across professional and AI-focused projects.

PROJECT / 01◈

Core Banking Modernization

Scalable account and lending journeys with eligibility, audit logging, transactions, suspense-account flows and asynchronous processing.

Java 17Spring BootKafkaDDDMySQL
PROJECT / 02◉

SEPA Payment Processing

Critical camt.029/camt.056 workflows covering duplicate detection, sanctions, CSM reachability, routing, retries and alerts.

PaymentsMicroservicesKafkaResilience
PROJECT / 03✦

Agentic AI HR Portal

AI-powered HR workflows using Python, LangChain, RAG and Pinecone to automate knowledge retrieval and task execution.

PythonLangChainRAGPinecone
05 / Education & credentials

Foundations
matter.

Computer science fundamentals backed by cloud, AI and problem-solving practice.

Education

National Institute of Technology Silchar

B.Tech — Computer Science and Engineering

Aug 2018 — May 2022

Certifications & DSA
AZMicrosoft Certified: Azure Fundamentals (AZ-900)
AWSAWS Fundamentals
AIAgentic AI
DSALeetCode Profile ↗
06 / Contact

Let's build something
reliable & intelligent.

Interested in backend engineering, cloud-native systems, fintech, distributed systems or applied AI? Connect with me and let's start a conversation.

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