---
title: "Rajat Agarwal - Engineer-E3 in Bengaluru | Tal"
description: "Meet Rajat Agarwal, Engineer | YT (Algorithms Made Easy) based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including leetcode and youtube.com."
image: "https://tal.club/meet/rajat-agarwal-4/share-image"
---

# Rajat Agarwal on Tal

## Headline

Engineer \| YT \(Algorithms Made Easy\)

## About

Principal Engineer and Technical Leader with 11 years of expertise in backend systems, system architecture, and engineering management\. Proven ability to deliver scalable, high\-impact solutions with technical vision and systems engineering expertise managing $1Bn\+ in loan assets across fintech and crypto sectors\. Expert in Java, Spring Boot, microservices, and cloud platforms with a focus on leveraging AI\-assisted workflows to maximize team velocity and operational efficiency; adept at leading cross\-functional teams and mentoring engineers\. Core Impact & Achievements: Scalability: Engineered a notification system at Paytm handling peak traffic of 200,000 requests per minute \(200K RPS\) with 99\.9% delivery success\. Asset Management: Directed architectural enhancements and migrations for loan platforms, managing an active loan book of $1Bn\+ and projected growth to $1\.5Bn\. System Design: Lead architect for complex integrations like the ONDC Seller App and re\-architecting transaction processing engines for granular control and extensibility\. Efficiency: Achieved 95% storage optimization and significant latency reductions through modular microservices and advanced design patterns\. Technical Expertise: • Languages / Frameworks: Java, Spring Framework, Spring Boot, REST API, Scala • Messaging / Streaming: Kafka, Apache Pulsar, RabbitMQ • Databases & Caching: PostgreSQL, Redis, NoSQL, Caching Frameworks • DevOps & Cloud: AWS Services, Docker, Integration Testing, JUnit, Mockito • Architectures: Microservices, Event\-Driven Architecture, System Design • Specialties: Performance Optimization, Scalable Solutions • AI & Productivity Tools: Claude, Cursor, Custom LLM Agent/Skill Development, Prompt Engineering, Automated Test & Spec Generation Beyond my core engineering roles, I am passionate about technical education and mentorship\. I founded "Algorithms Made Easy," a platform with 43,000\+ subscribers where I translate complex system design and algorithmic concepts for a global developer community\. I thrive on solving "impossible" scaling challenges and leading cross\-functional teams to deliver high\-stakes financial products\. 📧 Reach out at rajatag03@gmail\.com for collaborations or technical leadership opportunities\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

gemini

kimi

## Work experience

Engineer\-E3 at BitGo, Aug 2024 \- Present · 2 y, Bengaluru, Karnataka, India, \-\-\- Transaction Infrastructure: Re\-architected the transaction processing engine to enable granular controls and extensibility for transaction onboarding and nested connections\. \-\-\- Database & System Design: Architected modular database schemas and synchronization flow for collateral processing, prioritizing long\-term extensibility and system decoupling\. \-\-\- Strategic Initiatives: Spearheading a specialized engineering team to develop a novel initiative for loans featuring dynamic collateral pledging\. \-\-\- AI\-Driven Engineering Efficiency: Built custom AI skills and prompt pipelines for developer workflows, automating TDD generation, PR reviews, and integration testing, boosting sprint productivity by 25%\. \-\-\- Loan Book Impact: Managed active loans migration impacting a $1Bn\+ loan book and drove architecture enhancements resulting in a projected $1\.5Bn loan book size\. \-\-\- Technical Leadership & AI Operations: Leading technical decisions for critical financial systems and leveraging AI\-assisted diagnostic tooling to optimize operational triage and microservice log analysis\. \-\-\- Mentorship: Leading and mentoring interns and junior developers, promoting AI tool adoption and engineering excellence across the team\.

Technical Lead at Paytm, Dec 2022 \- Jul 2024 · 1 yr 8 mos, Pune District, Maharashtra, India, ONDC \(Open Network for Digital Commerce\) • Led and mentored a team of 3\. • Integrated ONDC seller app with Petpooja, enhancing search functionalities\. • Designed and developed a highly modular and extensible service to enrich product arguments through multi\-level filtering\. • Upgraded messaging system from RabbitMQ to Kafka, resulting in stable and scalable message processing, effectively handling higher volumes of data\. ➢ Notifications System • Devised Observer pattern\-based solution for dynamic updates, enabling controlled consumer behavior without app redeployment\. • Realized a remarkable 95% storage reduction via strategic caching implementation, optimizing performance and reducing API response time by 5ms\. • Efficiently streamlined infrastructure by consolidating ALB and decommissioning redundant ELBs, resulting in ₹25K/year cost savings\. • Resolved rate limiting issue by refining measures through stress testing and Redis set understanding, ensuring optimal system capacity utilization\. • Successfully executed version\-driven migration of key infra components \(Redis, Kafka\), extracting security enhancements and best practices\.

Technical Lead at Fiserv, Jun 2021 \- Dec 2022 · 1 yr 7 mos, Pune Division, Maharashtra, India, SMS Service: • Managed the entire microservice lifecycle, from development to deployment\. • Led client and vendor discussions, addressing requirements and resolving issues\. Developed REST APIs in Scala and created deployment scripts for the application\. ➢ E\-statement Service: • Initiated the development of an event\-driven architecture for e\-statement download requests\. • Extensively utilized Pulsar to enhance event mechanisms across multiple microservices\. • Delivered high\-quality code, incorporating additional feature requirements\.

Software Developer II \(G2\) at TSYS, Sep 2020 \- Jun 2021 · 10 mos, Pune Division, Maharashtra, India, ❖ Fraud Detection System • Developed Restful API for fraud rules which act as an interface for detecting fraud transactions\. • Developed Micro services on Spring Boot\. • Fraud Detection Software works for both Real\-time and Non\-Real\-time Credit Card transactions\. • Developed Audit Log framework which logs request, response and time taken by API for every call using AspectJ\. • Developed a portable Reporting framework which fetches data from local as well as third party databases\. • Worked on eliminating the top ten OWASP security vulnerabilities\. • Automated build to deploy, fail\-safe and parallel execution cycle using Jenkins\.

Software Developer II \(G1\) at TSYS, Jul 2018 \- Sep 2020 · 2 yrs 3 mos, Pune, Maharashtra, India, TSYS is a United States credit card processor, merchant acquirer, and bank credit card issuer\. I am working on their Credit Card Fraud Detection application\.  Developed Fraud Detection Software for both Real\-time and Non\-Real\-time Credit Card transactions\.  Developed Audit Log framework which logs request, response and time taken by API for every call using AspectJ\.  Developed a portable Reporting framework which fetches data from local as well as third party databases\.  Worked on eliminating the top ten OWASP security vulnerabilities\.  Automated build to deploy, fail\-safe and parallel execution cycle using Jenkins\.

Associate Consultant at Capgemini India, Jul 2015 \- Jun 2018 · 2 y 11 mo, Pune

## Education

B\.tech, Computer Science, Global Institute of Technology,Jaipur

senior secondary, SCEINCE MATHS, subodh public school

## Public links

- leetcode: https://leetcode\.com/rajatag03
- youtube\.com: https://youtube\.com/@AlgorithmsMadeEasy

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

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