---
title: "Baibhav Kumar Ojha - Software Engineer(Fraud Prevention CoE) in Greater Bengaluru Area | Tal"
description: "Meet Baibhav Kumar Ojha, Software Engineer @ NatWest Group | Backend Engineer · Distributed Systems · Java · Spring Boot · Kafka · Real-Time Platforms · Fintech based in Greater Bengaluru Area. AI stack includes cursor and opencode."
image: "https://tal.club/meet/baibhav-kumar-ojha/share-image"
---

# Baibhav Kumar Ojha on Tal

## Headline

Software Engineer @ NatWest Group \| Backend Engineer · Distributed Systems · Java · Spring Boot · Kafka · Real\-Time Platforms · Fintech

## About

I design and operate distributed backend systems built for high throughput, low latency, and production resilience\. At NatWest Group, I build the microservice infrastructure that sits on the live transaction path of banking operations — event\-driven pipelines, real\-time APIs, and cloud\-native services that have contributed to preventing $12\.5B in potential fraud losses in FY2024\. My work spans the full platform depth: Kafka\-based event streaming, APIGEE\-governed REST APIs, MongoDB data modelling for high\-volume audit and compliance workloads, and cloud\-native deployment on Kubernetes and PCF with GitLab CI/CD\. I focus on the engineering problems that matter at scale: service reliability under load, fault tolerance, observability, and low\-latency system design\. I've built end\-to\-end observability stacks with Splunk and DXAPM that cut incident response times by 30%, and I own services from API contract through production monitoring — including incident response and performance optimisation\. Core competencies: Distributed Systems · Event\-Driven Architecture · Java · Spring Boot · Apache Kafka · Microservices · REST APIs · MongoDB · PCF · CI/CD · System Design · Observability · Fintech\. Previously at Axtria, I built Spring Boot integration services for enterprise data platforms in life sciences analytics\. M\.Tech from IIIT Bangalore · AWS Solutions Architect \(Associate\)\. Open to senior backend engineering roles building high\-scale platforms — payments infrastructure, booking systems, marketplace backends, or financial data pipelines where reliability and throughput are first\-class engineering concerns\.

## Location

Greater Bengaluru Area

## AI stack

cursor

opencode

## Work experience

Software Engineer\(Fraud Prevention CoE\) at NatWest Group, Jan 2023 \- Present · 3 yrs 8 mos, India, Technologies: Java · Spring Boot · Kafka · MongoDB · APIGEE · PCF · Kubernetes · GitLab CI/CD · Splunk · DXAPM · REST APIs \- Architected and owned multiple fraud detection microservices in Java/Spring Boot — part of a distributed system that contributed to preventing $12\.5B in potential fraud losses in FY2024, with APIGEE\-governed APIs providing secure, controlled data exposure across retail banking channels\. \- Designed event\-driven fraud analytics pipelines on Apache Kafka, enabling sub\-second transaction risk evaluation across distributed services — improving fraud detection precision by 20% and reducing false positives by 40%\. \- Owned end\-to\-end deployment of cloud\-native fraud services on Pivotal Cloud Foundry \(PCF\) with auto\-scaling and zero\-downtime releases; built and maintained GitLab CI/CD pipelines reducing deployment cycle time and increasing release reliability\. \-Built end\-to\-end observability for fraud services using Splunk and DXAPM — centralised log aggregation, real\-time dashboards, and proactive alerting reduced mean incident response time by 30% and enabled faster root cause analysis in production\. \- Designed MongoDB data models for high\-volume transactional audit logs and compliance records — optimised indexing strategies for low\-latency retrieval under fraud investigation SLAs and regulatory audit requirements\. \- Led design of the Strategic Fraud Card Action Microservice — a real\-time gateway service consuming Kafka topics, routing through APIGEE\-managed APIs, and orchestrating card block/replace/cancel actions across the Retail DigiX and CDNA systems with full MongoDB audit traceability\. \- Designed and shipped the CES Notes Service — a Kafka\-driven microservice supporting Fraud Ops analysts with real\-time transaction enrichment, SOAP/XML integration with the ESP system via CICS calls, and bidirectional sync with core customer data through the CES UI\.

Software Engineer at NatWest Group, Jan 2023 \- Present · 3 yrs 8 mos, Stack: Java 17 · Spring Boot · Apache Kafka · MongoDB · TYK / APIGEE · REST APIs · PCF · GitLab CI/CD · JUnit · Splunk · DXAPM •Designed and built scalable backend microservices in Java/Spring Boot supporting real\-time fraud prevention workflows across NatWest's retail banking platform — REST API services processing high\-volume transaction events, contributing to $12\.5B in safeguarded financial value in FY2024\. •Architected high\-throughput Kafka event streaming pipelines — optimised partition configuration and consumer group topology to maximise message throughput and minimise processing latency, enabling sub\-second fraud risk decisions; improved detection precision by 20% and reduced false positives by 40%\. •Wrote and maintained JUnit unit and integration test suites as a core part of the development workflow, alongside SonarQube\-gated code quality checks within CI/CD pipelines — ensuring regression safety and maintainability across the fraud microservices codebase\. •Engineered MongoDB\-backed data persistence and audit infrastructure for fraud investigation workflows — designed schemas, indexing strategies, and caching\-aware access patterns to optimise query performance and ensure low\-latency retrieval under regulatory audit requirements\. •Built and maintained GitLab CI/CD pipelines automating build, test, and deployment for containerised services on PCF — improving release cadence, deployment reliability, and rollback safety across the fraud services estate\. •Strengthened platform observability and on\-call production reliability — built centralised Splunk/DXAPM monitoring with proactive alerting and defined SLAs, reducing mean incident response time by 30%; diagnosed and resolved complex production issues under live operating conditions\. •Drove performance and scalability initiatives — optimised database access patterns and service processing logic, including CompletableFuture\-based concurrency; led load and performance testing under peak transaction volumes to v

Software Analyst at Axtria \- Ingenious Insights, May 2022 \- Oct 2022 · 6 mos, India, \- Engineered backend integration between Reltio \(master data management platform\) and AxtriMAX, building Spring Boot services to consume and transform REST APIs for life sciences data pipelines used in commercial analytics\. \- Developed Spring Boot microservices for the DataMAX platform — each module responsible for ingesting, transforming, and exposing structured data assets to downstream analytics workflows, with REST API contracts tested via Postman\. \- Delivered features across the full SDLC in a Scrum team — requirements, development, unit testing, code review, and production deployment — within a fast\-moving 6\-month engagement\.

Senior Systems Engineer \(Java Developer Trainee\) at Cognizant, Aug 2021 \- May 2022 · 10 mos, India, Technologies\- Java, Agile, Object\-Oriented Programming, Active Directory, Service Now, Salesforce Management, Microsoft Endpoint Manager, Dell One Identity, Zoom Admin Management, Sharefile, Account Admin, PingID\. \- Contributed to backend development of a B2B proctored hiring platform using Node\.js and Python — implemented API endpoints, wrote test cases, and improved SonarQube code quality scores as part of an Agile delivery team\. \- Completed intensive backend engineering training in Java and OOP within an Agile environment; applied learnings directly to production bug fixes and feature delivery on client projects\.

Programming Analyst at Cognizant, Aug 2020 \- Apr 2022 · 1 yr 9 mos, Stack: Java · Node\.js · Python · MySQL · OOP · SonarQube · Agile •Contributed backend development to a B2B proctored hiring platform in Node\.js and Python — built API endpoints, wrote unit tests, resolved production bugs, and improved SonarQube code quality coverage\. •Built foundational engineering competency in distributed systems, clean code, and CI/CD\-driven delivery through intensive Java/OOP training applied directly to production feature work\.

Engineer Trainee at Cognizant, Aug 2020 \- Jul 2021 · 1 yr, India, \- Worked as Backend Development in Agile environment and received training of backend development \- Debug and test before deploy code to production Technologies used \- Technologies used \- Java, Agile, Object\-Oriented ProgrammingActive Directory, Service Now, Salesforce Management, Microsoft Endpoint Manager, Dell One Identity, Zoom Admin Management, Sharefile, Account Admin, PingID\.

## Education

Postgraduate Degree, Computer Software Engineering, International Institute of Information Technology Bangalore

Bachelor of Engineering, Computational Science, Sathyabama Institute of Science & Technology, Chennai

[View the original profile](https://tal.club/meet/baibhav-kumar-ojha)

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