---
title: "Rahul Singla - SDE 1 in India | Tal"
description: "Meet Rahul Singla, Software Engineer @Amazon based in India. AI stack includes claude code, codex, and github copilot. Explore public work links including github and codeforces."
image: "https://tal.club/meet/rahul-singla/share-image"
---

# Rahul Singla on Tal

## Headline

Software Engineer @Amazon

## About

As a Software Engineer, I apply my skills and knowledge in computer science to create innovative solutions for various projects\. I am proficient in Amazon Web Services \(AWS\), MERN stack, and Spring Boot, which I use to build scalable and efficient applications\. I am passionate about learning new technologies and staying updated with the latest trends in the field\. I am also committed to delivering high\-quality work and collaborating effectively with my team\. My goal is to continue growing as a software engineer\.

## Location

India

## AI stack

claude code

codex

github copilot

kiro

claudecode

ChatGPT

## Work experience

SDE 1 at Amazon, Jan 2026 \- Present · 9 mo, Bengaluru, Karnataka, India, Built a pre\-ranking plugin within the offer\-ranking system, serving 1B\+ requests daily, to call an index API to detect items co\-shippable with a customer’s cart and augments the offer with an incentive amount; targeted a 2\-3% unit\-share uplift and multi\-million\-dollar annual shipping\-cost savings across 8 international marketplaces\. End\-to\-end implementation of ”Pair and Save” feature swatch for the Multi Offer Display in Amazon Shopping Experience for mobile and desktop in 4 worldwide marketplacess\. Verified zero production traffic across metrics and logs over a 2\+ week window, then tore down the deprecated region end\-to\-end \(CDK stacks, load\-balancer relay configs, certificates, pipeline stages\), eliminating a full regional fleet and its recurring operational cost\. Shipped a reconciliation Lambda and reusable Java library comparing source and destination records for data replication workflows, with CloudWatch metrics tracking success rate, processed, and failure counts\. Programmed an AI\-Native on\-call analyzer that ingests tickets, logs, and runbooks to auto\-generate triage summaries and root\-cause suggestions, cutting mean time to diagnosis and easing on\-call load\. Designed and implemented a CloudWatch\-based steady\-state validator for data replication workflows, orchestrating composite alarm checks and metric threshold validations via AWS Step Functions\.

Software Developer at Kickdrum, Jul 2024 \- May 2025 · 10 mo, Bangalore Urban, Karnataka, India, Engineered the Feedback module using React and AWS Lambda, enabling seamless performance tracking for over 200 employees\. Migrated the performance\-assessment platform from an always\-on to a fully serverless AWS architecture, cutting infrastructure cost by 90% while holding scalability through peak cycles\. Restructured and optimized a ColdFusion\-based recursive workflow, reducing message delivery time from 120\+ minutes to under 35 minutes \(70% improvement\)\. Mentored a couple of SDE interns, providing design guidance and code reviews that helped them ship their internship project within the timeline\.

Software Engineer Intern at Kickdrum, Jan 2024 \- Jul 2024 · 6 mo, Bengaluru, Karnataka, India, Improved application observability by creating 5\+ Datadog dashboards for backend APIs and complete GCP performance monitoring\. Developed a Cypress\-based automated framework for validating content, delivery triggers, and backend API responses, reducing manual QA cycles and ensuring reliable communication for 50,000\+ students\. Collaborated with a team of software developers to build and deploy a scalable Internet Booking Engine website using React\.js, Spring Boot, and AWS services, enhancing performance and user experience\.

SDE Intern at RM Applications Sdn Bhd \(RMA\), Jun 2023 \- Sep 2023 · 3 mo, Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia, Developed the Email Blasting and File Upload & Preview modules for the membership platform, improving operational efficiency by 30%\. Designed a popup menu with a search functionality, reducing search time by 45% for users navigating through the membership system\.

## Education

Bachelor's degree, Computer Science, UIET Panjab University

## Public links

- github: https://github\.com/rahul17singla
- codeforces: https://codeforces\.com/profile/anxious\_bug

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

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