---
title: "Rahul Anand - Software Developement Engineer 2 in Bengaluru | Tal"
description: "Meet Rahul Anand, SDE-2 @ Rupeek | Ex-Bajaj Finserv | Backend Engineer | Java, Spring Boot, Distributed Systems | Scalable Microservices on AWS & Azure based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github, leetcode, and anandrahul.co..."
image: "https://tal.club/meet/rahul-anand-1/share-image"
---

# Rahul Anand on Tal

## Headline

SDE\-2 @ Rupeek \| Ex\-Bajaj Finserv \| Backend Engineer \| Java, Spring Boot, Distributed Systems \| Scalable Microservices on AWS & Azure

## About

I’m a Software Development Engineer \(SDE\-2\) with hands\-on experience designing and scaling distributed backend systems using Java, Spring Boot, and microservices architecture\. Over the past few years at Rupeek and Bajaj Finserv, I’ve built AI\-assisted collaboration platforms, implemented real\-time data pipelines using Kafka and Azure Event Hub, and improved system throughput and latency by double\-digit percentages\. My core strengths lie in system design, cloud\-native development \(AWS, Azure, Docker, Kubernetes\), and integrating data\-driven solutions into production\-grade systems\. I’m passionate about backend scalability and performance optimization, and I’m now focused on leveraging distributed systems and AI to solve complex, high\-impact problems at scale\. Open to discussing backend, platform, or distributed systems engineering opportunities in fast\-scaling product teams\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

claudecode

huggingface

## Work experience

Software Developement Engineer 2 at Rupeek, Sep 2025 \- Present · 1 y, Bengaluru, Karnataka, India, 1\) Proposed and led the migration to self\-hosted Temporal for durable workflow orchestration, designing and validating the platform with Kubernetes load testing before scaling it to 10K ST/hour and reducing orchestration costs by 8x org\-wide\. 2\) Architected and built a distributed Sliding Window Rate Limiter from scratch using Redis \+ Lua operations, backed by a retry queue and DLQ for failure recovery; handling 22K requests/day, shipped to production with zero incidents\. 3\) Driving the LLD and migration of the Lender Integration Service to a config\-driven JSON DSL stored in a DB table, replacing lender\-specific code; targeting a reduction in onboarding time with deployment\-free lender onboarding\. 4\) Owned architecture for a multi\-protocol integration layer \(REST, async, webhooks, SOAP\) behind a common tool\-interface abstraction, handling 4K requests/min in production across 5 external systems

Senior Software Engineer at Bajaj Finserv, Aug 2024 \- Jul 2025 · 1 yr, • Proposed, architected, and built a Semantic Search engine end\-to\-end using pgVector and OpenAI embeddings, enabling top\-K similarity search with query rewriting and taxonomy\-based filtering ,improving knowledge discovery efficiency by 40%\. • Built a distributed, priority\-driven event orchestration system \(inspired by Meta’s FOQS\) processing 15k events/min across 4 microservices, dynamically scheduling delayed events and dispatching to AWS SQS for parallel execution, improving SLA adherence by 35%\. • Engineered an asynchronous eSign callback system \(Kafka \+ DLQ\), converting a blocking 10–60s wait into a non\-blocking flow — cutting customer wait time to <15s and eliminating timeout failures across the journey\. • Engineered and deployed Rapid LR, a modular re\-engagement platform integrating 8 workflows across SMS, push notifications, and calls using Java, Spring Boot, and Kafka — boosting revenue by 40%, lead conversions by 35%\. • Piloted integration of Small Language Models \(SLMs\) including Qwen and Gemma within engagement workflows to auto\-generate personalized communication content, improving click\-through rates by 7% during pilot runs\.

Software Engineer at Bajaj Finserv, Jul 2022 \- Aug 2024 · 2 yrs 2 mos, Pune, Maharashtra, India, 1\) Developed a reusable SDK for TimeSeries DB, standardizing data ops across 15\+ microservices and reducing integration effort by 20%\. 2\) Optimized Cosmos DB queries and indexing to handle millions of records, boosting throughput by 30% and lowering latency\. 3\) Enhanced REST API performance and caching, improving app responsiveness by 20%\. 4\) Migrated event sync process from batch to real\-time, improving lead assignment accuracy and sales efficiency by 20%\. 5\) Accelerated collections data pipeline via Java multithreading, processing 90M\+ records with improved efficiency\. 6\) Hardened codebase by remediating vulnerabilities and validating patches with JUnit and Mocha\.

Data Engineer Intern at Bajaj Finserv, Jan 2022 \- Jul 2022 · 7 mos, Pune, Maharashtra, India

Software Engineer Intern at ExpertsHub, Feb 2021 \- Mar 2021 · 2 mos

Software Engineer Intern at RoboRAM Technologies, Sep 2020 \- Oct 2020 · 2 mos

Marketing Staff at SPIE, the international society for optics and photonics, Jul 2019 \- Jun 2020 · 1 yr, Chennai, Tamil Nadu, India

## Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Vellore Institute of Technology

PCM, Chinmaya Vidyalaya, Bokaro Steel City

## Public links

- github: https://github\.com/Anand\-rahul
- leetcode: https://leetcode\.com/anandrahul596
- anandrahul\.com: https://anandrahul\.com/

[View the original profile](https://tal.club/meet/rahul-anand-1)

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