---
title: "Pradeep Kumar - Sde 2 in Bengaluru | Tal"
description: "Meet Pradeep Kumar, SDE2 @ Uber | ex-Amazon based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/pradeep-kumar-19/share-image"
---

# Pradeep Kumar on Tal

## Headline

SDE2 @ Uber \| ex\-Amazon

## About

Software Engineer II with 5\+ years of experience in mentoring junior engineers, designing scalable distributed systems, fault\-tolerant microservices, and low\-latency Tier\-1 cloud services at Amazon\. Proven expertise in Java, Spring Boot, AWS, Kubernetes, and system design, with a track record of reducing latency, improving reliability, operational excellence, and cutting millions in operational costs\. Experience: \* Project Lead \* Full Stack Development \(Spring Boot and ReactJS\) \* Azure DevOps \* AWS \* Docker and Kubernetes \* Agile Methodologies & Quality Assurance

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

opencode

ChatGPT

## Work experience

Sde 2 at Uber, Apr 2026 \- Present · 5 mos, Bangalore Urban

SDE2 at Amazon, Jun 2025 \- Present · 1 yr 3 mos, Bangalore Urban, Karnataka, India

SDE at Amazon, Aug 2022 \- Jun 2025 · 2 yrs 11 mos, Bengaluru, Karnataka, India, \* Designed and implemented fault\-tolerant asynchronous retry mechanisms in distributed Tier\-1 Alexa services, improving system resiliency, reducing 690 TPS of voice defects, and boosting success rate by 23% for Alexa\+ \(LLM\-powered\) customers\. \* Tier\-1 Alexa Services Convergence: Designed a solution to eliminate cyclic dependencies between two Tier\-1 Alexa services, leading to a 23% cost reduction \($72,451 per year\) and reducing User Perceived Latency \(UPL\) by 14ms\. \* Optimized Queries for LLM\-Powered Alexa: Led the optimization of an Alexa service queries, leveraged multithreading and caching to reduce API latency by 25\-30ms, directly improving UPL for LLM\-Powered Alexa\. \*SetSpeakerVolume API POC using LLM Models: Took complete ownership of the end\-to\-end Proof\-of\-Concept \(POC\) to migrate the Classical SetVolume API to LLM\-Powered Alexa API, demonstrating Bias\-for\-Action\. \* Cost Reduction \- Largest Alexa Service Fleet Infra Optimization: Led the transition from x86\-based instances \(m5\.xlarge\) to Graviton3 \(c7g\.2xlarge\), improving performance and reducing costs by 33% \($102K per month\)\. Achieved a 50% host reduction for FE, 20% in EU, and 70% in NA\. \* Cost Reduction – Reconnection Storm Buffer Optimization: Optimized the buffer for an Alexa Voice Service Fleet, reducing costs by $25,555 per month, totaling $178,891 in annual savings for 2024\.

Software Development Engineer at Jio, Aug 2020 \- Aug 2022 · 2 yrs 1 mo, Bengaluru, Karnataka, India, Manager Grade role Projects: Front\-end: \* Designed and implemented a dashboard that efficiently managed the JioMart Cache Cluster, handling millions of daily requests\. Backend: \* Distributed Cache\-as\-a\-Service POC using Redis: Led the end\-to\-end Proof\-of\-Concept for a Distributed Cache\-as\-a\-Service using Redis, taking ownership of the implementation and incorporating an interactive User Interface for enhanced usability\. \* Reduced Change Lead Time \(CLT\) by 30%: Achieved a 30% reduction in Change Lead Time \(CLT\) by implementing a Feature Toggling Tool for Independent Deployment, streamlining the release process\. \* Improved Efficiency by 10%: Developed an Application Monitoring System \(AMS\) for the Coupon Management System \(CMS\) using the ELBK stack, resulting in a 10% reduction in development time and enhanced system efficiency\. \* Achieved Zero\-Downtime Deployment: Successfully implemented Zero\-Downtime Deployment \(ZDD\) for the Coupon Management System \(CMS\), ensuring uninterrupted code deployment and minimizing operational disruptions\. \* Conducted 15\+ SDE Interviews: Led recruitment efforts by conducting over 15 interviews for SDE 1, 2, and 3 roles, contributing to the selection and development of top talent for JioMart’s team\.

Mobile Application Developer at Eblity, Jul 2019 \- Feb 2020 · 8 mos, Raipur

Full Stack Developer at Eblity, May 2019 \- Feb 2020 · 10 mos, Raipur

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Technology, Bhilai

[View the original profile](https://tal.club/meet/pradeep-kumar-19)

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