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Keshav GargKG
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Keshav Garg

@keshavgarg1

I build AI-powered automation, software validation tools, and full-stack web applications.

India
Message

What I'm looking for

I'm looking to build smart, scalable software that applies AI/ML and RAG to automate complex workflows, improve system performance, and replace time-consuming manual processes.

At Qualcomm India, I validate software drivers for complex Android and automotive SoCs and PMICs, using AI/ML and RAG to automate workflows and turn manual processes into one-click experiences. I also built a Code Impact Analysis tool that analyzes meta-build changes and recommends relevant test cases for validation.

Previously, I developed Vue/Nuxt-based social-media features and payments for RYLA at HNR Tech, and created an Angular, Java, and Spring Boot admin experience for Expedia Group’s Dispute Dynamic Response Template. I’ve also led backend API development for Web Set Hunt and built an Intelligent Document Processing Electron app using Python machine-learning models.

Experience

Work history, roles, and key accomplishments

HT

VueJS Developer

HNR Tech

Aug 2024 - Nov 2024 (3 months)

Developed a social media web application called RYLA, enabling community creation and event hosting. Implemented payments and developed profile and community sections.

Expedia Group logoEG

Software Development Engineering Intern

May 2023 - Jul 2023 (2 months)

Created an end-to-end admin page for dispute dynamic response templates, allowing authorized admins to update templates in real time, saving time and manual processes.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Kurukshetra logoNK

National Institute of Technology, Kurukshetra

Bachelor of Technology, Electronics and Communication Engineering

2020 - 2024

Grade: 8.97 CGPA

Bachelor of Technology in Electronics and Communication Engineering with a CGPA of 8.97.

SS

Sant Nischal Singh Public School

12th, Non-Medical

2019 - 2020

Grade: 92.2%

Completed 12th grade in Non-Medical stream with a percentage of 92.2.

Tech stack

Software and tools used professionally

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