Abhishek G. profile photo 1 on Tal

Abhishek G.

Ex-Amazon (Alexa Devices) || xEngg @ Qualcomm AI/ML || M.Tech CSE - IIITB || GATE - AIR 1016 || AWS GenAI Certified

Bengaluru

5+ years of work experience

Amazon
Jul 20224 yrs 1 moJul 2026

Bengaluru

• Distributed Systems Design - Part of Amazon Private Brands (PBC) and Alexa Connect Kit (ACK), working on distributed-systems design for a managed IoT platform at scale — 5M+ devices, ~900M events/day, ~6,000 AWS accounts (Java/Spring Boot microservices on ECS with SQS, SNS, Lambda, Step Functions, and DynamoDB). Partnered with SDE3s and a Principal Engineer through complex, ambiguous solution design and review processes, and contributed to code reviews and root-cause-analysis report reviews (346 CRs across 89 packages / 68K LOC at ~1.4 revisions per review). • Project Execution - Delivered critical projects across PBC and ACK — implemented standardized launch reporting, optimized operational processes, and streamlined the BLR13 device-lab setup to improve efficiency. Led an operational ticket-reduction program that cut on-call backlog 57% and incoming tickets 55% (40→19/week), and built CDK infrastructure with Hydra integration testing that reduced provisioning from days to under an hour and test runs from hours to 30 minutes, adopted by 5+ teams. • High-Impact Deliveries - Led and executed critical programs — including Energy Star Reporting, Mars Migration, and Cloud Auth Migration — delivering ahead of deadlines under hard external constraints (e.g., pivoted Energy Star V2→V1 mid-cycle to preserve EPA certification during a code freeze). Also drove an event-processing modernization (AEB→AEM subscription model) that cut downstream traffic ~40%, saved ~$30K/month, and reduced latency ~30ms, plus an Artwork Library platform that generated ~$500K/year in savings. • Technical Excellence - Established best practices for technical documentation and engineering processes — structured knowledge sharing, runbooks, and process standardization across teams. Serve as OTA subject-matter expert and support hiring quality as a Bar-Raiser (in training), with 40+ interviews conducted and 2 interns converted to full-time.
Qualcomm
Jan 20226 mosJun 2022

Hyderabad

Fine-tuned backend test automation tool shortening failure analysis time by 40% under the Al/ML team; built end-to-end test case generation, faulty commit detection, and nightly build verification using Python, MongoDB, and YAML; modeled database schemas for test result storage, established log analysis pipelines to detect defective builds across regression results
Modular Open Source Identity Platform (MOSIP)
Jan 20211 yrDec 2021

Bengaluru, Karnataka, India

Sopra Steria
Dec 20172 mosJan 2018

Noida

GitHub
@wildrider09

Abhishek’s AI Stack

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Education

International Institute of Information Technology Bangalore

Master of Technology - MTech, Computer Science

International Institute of Information Technology Bangalore

20202 yrs2022
DIT University

BTech - Bachelor of Technology, Computer Science

DIT University

20154 yrs2019

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Headline

Ex-Amazon (Alexa Devices) || xEngg @ Qualcomm AI/ML || M.Tech CSE - IIITB || GATE - AIR 1016 || AWS GenAI Certified

About

As a Software Developer at Amazon, I am part of the Private Brands and Alexa Connect Kit teams, collaborating with senior engineers on distributed systems design, code reviews, and root cause analysis. I have successfully contributed to critical projects such as Energy Star Reporting, Mars Migration, and Cloud Auth Migration. My responsibilities also include optimizing processes and enhancing efficiency in project execution. I hold an MTech in Computer Science from IIIT Bangalore and a BTech from DIT University. My core competencies include Java, data structures, and software development. I am committed to implementing technical best practices, building scalable solutions, and driving innovation as part of a collaborative team.

Location

Bengaluru

AI stack

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opencode

Work experience

Engineering at Amazon, Jul 2022 - Jul 2026 · 4 yrs 1 mo, Bengaluru, • Distributed Systems Design - Part of Amazon Private Brands (PBC) and Alexa Connect Kit (ACK), working on distributed-systems design for a managed IoT platform at scale — 5M+ devices, ~900M events/day, ~6,000 AWS accounts (Java/Spring Boot microservices on ECS with SQS, SNS, Lambda, Step Functions, and DynamoDB). Partnered with SDE3s and a Principal Engineer through complex, ambiguous solution design and review processes, and contributed to code reviews and root-cause-analysis report reviews (346 CRs across 89 packages / 68K LOC at ~1.4 revisions per review). • Project Execution - Delivered critical projects across PBC and ACK — implemented standardized launch reporting, optimized operational processes, and streamlined the BLR13 device-lab setup to improve efficiency. Led an operational ticket-reduction program that cut on-call backlog 57% and incoming tickets 55% (40→19/week), and built CDK infrastructure with Hydra integration testing that reduced provisioning from days to under an hour and test runs from hours to 30 minutes, adopted by 5+ teams. • High-Impact Deliveries - Led and executed critical programs — including Energy Star Reporting, Mars Migration, and Cloud Auth Migration — delivering ahead of deadlines under hard external constraints (e.g., pivoted Energy Star V2→V1 mid-cycle to preserve EPA certification during a code freeze). Also drove an event-processing modernization (AEB→AEM subscription model) that cut downstream traffic ~40%, saved ~$30K/month, and reduced latency ~30ms, plus an Artwork Library platform that generated ~$500K/year in savings. • Technical Excellence - Established best practices for technical documentation and engineering processes — structured knowledge sharing, runbooks, and process standardization across teams. Serve as OTA subject-matter expert and support hiring quality as a Bar-Raiser (in training), with 40+ interviews conducted and 2 interns converted to full-time.

Interim Engineer at Qualcomm, Jan 2022 - Jun 2022 · 6 mos, Hyderabad, Fine-tuned backend test automation tool shortening failure analysis time by 40% under the Al/ML team; built end-to-end test case generation, faulty commit detection, and nightly build verification using Python, MongoDB, and YAML; modeled database schemas for test result storage, established log analysis pipelines to detect defective builds across regression results

Research And Development Engineer at Modular Open Source Identity Platform (MOSIP), Jan 2021 - Dec 2021 · 1 yr, Bengaluru, Karnataka, India

Engineer Intern at Sopra Steria, Dec 2017 - Jan 2018 · 2 mos, Noida

Education

Master of Technology - MTech, Computer Science, International Institute of Information Technology Bangalore

BTech - Bachelor of Technology, Computer Science, DIT University

Public links

github: https://github.com/wildrider09