---
title: "Rajat Jain - Principal Architect in Greater Delhi Area | Tal"
description: "Meet Rajat Jain, Principal Architect at NeuroDiscovery AI | Ex - Bharatpe based in Greater Delhi Area. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/rajat-jain-4/share-image"
---

# Rajat Jain on Tal

## Headline

Principal Architect at NeuroDiscovery AI \| Ex \- Bharatpe

## About

👨‍💻 Software Engineer specializing in high\-performance distributed systems and scalable cloud architecture that delivers business impact\. I solve complex engineering challenges by designing systems that maintain sub\-100ms performance even at 100K\+ RPM scale\. My focus lies in creating resilient, efficient infrastructure that powers critical business operations\. 💡 Core strengths: \- Architecting distributed systems that scale seamlessly \- Building secure, high\-throughput payment infrastructure \- Designing event\-driven microservices with fault tolerance \- Implementing performance\-optimized data pipelines My passion is engineering elegant solutions to difficult technical problems\. I thrive in environments where scalability, reliability, and security are non\-negotiable requirements\. Open to connecting with fellow engineers, architects, and technology leaders who share an interest in high\-performance systems design\.

## Location

Greater Delhi Area

## AI stack

antigravity

claude code

claude

gemini

geminicli

mcp

## Work experience

Principal Architect at NeuroDiscovery AI, Jul 2026 \- Present · 3 mos

Senior Backend Engineer at NeuroDiscovery AI, Jul 2025 \- Jun 2026 · 1 yr, Gurugram, Haryana, India

Software Engineer \- III at Jivi AI, Apr 2025 \- Jun 2025 · 3 mos

Founding Engineer \- Backend at Jivi AI, Jan 2024 \- Apr 2025 · 1 yr 4 mos, As Founding Engineer \- Backend at Jivi, I architected and scaled key backend systems from scratch, driving performance and reliability across AI\-driven products\. Key achievements: • Web Crawler: Built a high\-performance crawler for medical data, handling 12\.5M records and 9M images, with sub\-50ms search latency\. • Notification Service: Developed a unified system for SMS, Push, Email, and WhatsApp, cutting authentication costs by 50% and ensuring sub\-200ms delivery\. • IAM System: Engineered a high\-performance IAM system handling 40K RPM with <50ms authentication latency using Redis and JWT tokens\. • Mobile Backend: Designed a scalable backend for mobile apps, handling 22\.3K RPM and maintaining 99\.9% uptime with optimised latency under 120ms\. • Payment Orchestration: Built a payment system integrating multiple providers, boosting payment success rates to 95% with automated reconciliation\.

Software Engineer \- II at BharatPe, Nov 2023 \- Dec 2023 · 2 mos, Gurugram, Haryana, India, • Architected a modular, microservices\-based Central SMS Service, optimising user messaging operations and achieving 110,000 requests per minute \(RPM\)\. Integrated NoSQL databases alongside Kafka streaming for real\-time data processing, enabling BharatPe to efficiently store and analyse and perform aggregations on large\-scale data\. This infrastructure empowered the development of advanced intelligence and analytics on user behaviour, driving improved user engagement and traction\. • Led the development of a data\-driven sales application for cross\-selling, facilitating monetisation and automated payouts for BharatPe’s sales agents\. Built a custom rule engine leveraging MySQL, Redis, Kafka, and Spring Boot, enabling seamless handling of complex payout calculations\. Implemented multi\-threaded processing for asynchronous tasks, ensuring high performance and scalability\. The solution improved efficiency in cross\-sell activities, driving revenue growth and operational automation\.

Software Engineer \- I at BharatPe, Jul 2021 \- Nov 2023 · 2 yrs 5 mos, Delhi, India

Software Engineer Intern at BharatPe, Nov 2020 \- Jun 2021 · 8 mos, New Delhi, Delhi, India, • Primarily worked with React \(JavaScript/TypeScript\) and Vue\.js for frontend development, while utilising Laravel and PHP for building robust server\-side applications using Mysql as a datasource\. • Developed an Automated QR Assignment module within the CRM, reducing manual intervention by 90%, significantly improving efficiency for responsible stakeholders\. • Optimised and refactored the Bill Payments Module on the BharatPe Merchant App, enhancing performance and user experience\. • Involved in a complete refactor of the BharatPe Organised Trader’s Dashboard, improving code quality, readability, and upgrading the underlying tech stack for better maintainability and scalability\.

## Education

Bachelor of Engineering \- BE, Computer Science, Bangalore institute of technology

[View the original profile](https://tal.club/meet/rajat-jain-4)

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