Pradeep Kumar profile photo 1 on Tal

Pradeep Kumar

SDE2 @ Uber | ex-Amazon

Bengaluru

7+ years of work experience

Uber
Apr 20265 mosPresent

Bangalore Urban

Amazon
Jun 20251 yr 3 mosPresent

Bangalore Urban, Karnataka, India

Amazon
Aug 20222 yrs 11 mosJun 2025

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.
Jio
Aug 20202 yrs 1 moAug 2022

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.
Eblity
Jul 20198 mosFeb 2020

Raipur

Eblity
May 201910 mosFeb 2020

Raipur

Pradeep’s AI Stack

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ChatGPT
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Education

Indian Institute of Technology, Bhilai

Bachelor of Technology - BTech, Computer Science

Indian Institute of Technology, Bhilai

20164 yrs2020

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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

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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

Pradeep Kumar - Sde 2 in Bengaluru | Tal