Anshul Gupta

Software Engineer

United Kingdom6 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

6+ years in high-scale distributed systems
Led critical infrastructure projects at Prime Video
Passionate about cloud architecture and reliability engineering

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Healthcare and Cloud Architecture.

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Skills

Core Skills

Cloud ArchitectureDistributed SystemsMachine LearningComputer Vision

Other Skills

AlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)CC++Data StructuresDeep LearningGitJavaPandas (Software)ProgrammingPyTorchPythonShell ScriptingTensorFlow

About

Software Development Engineer with 6+ years of experience building high-scale distributed systems at Amazon and Samsung. Currently at Amazon Ads working on third-party ad serving and creative optimization, previously spent 4 years on Prime Video's Edge Platform where I led critical infrastructure projects including regional resiliency capabilities and innovative request shadowing techniques that prevented major production issues. My work has directly impacted systems handling millions of requests, from Prime Video's API Gateway (96% of all traffic) to ad delivery platforms improving engagement metrics. I'm passionate about distributed systems, cloud architecture, and reliability engineering, with hands-on experience across the full stack from backend services to infrastructure automation. Outside work, I run a self-hosted Kubernetes cluster for home automation and personal services.

Experience

Amazon

Software Engineer

Aug 2021 – Present · 4 yrs 7 mos · London, England, United Kingdom

Amazon Web Services (AWS)Cloud ArchitectureDistributed Systems

Entrepreneur first

Founder in Residence

Feb 2021 – Apr 2021 · 2 mos · Bengaluru, Karnataka, India

Pandas (Software)Machine LearningComputer Vision

Samsung electronics

Senior Software Engineer

Jul 2019 – Jan 2021 · 1 yr 6 mos · Bengaluru, Karnataka, India

Worked on machine learning algorithms for Ultrasound Imaging
Super Resolution for 3D Ultrasound images of Fetal Face
Follicle Growth Tracking in ovaries using 3D Ultrasound Scans
Identity network based on UNet model for medical images to be used as a better initialization for transfer learning

The linux foundation

Google Summer of Code Developer

May 2017 – Aug 2017 · 3 mos

This project aims to create a unified solution for printing in desktop and mobile environments. A well designed print dialog will help the users to find the right printers as well as the right printing configurations for documents. And this will happen in a way which is consistent with every platform and with every application within the platforms. The front-end of the print dialog will be ergonomic and written in Qt. The back-end will have the functionality for printing with CUPS, IPP or Google Cloud Print.
This project will change the way millions of users print.
https://summerofcode.withgoogle.com/archive/2017/projects/5877421957971968/

Ens de lyon (inria)

Intern

May 2014 – Jul 2014 · 2 mos · Rhone-Alpes, France

Developed a framework for scalable time-independent trace replay for off-line simulation of MPI applications

Iiit-delhi

Intern

May 2013 – Jul 2013 · 2 mos · New Delhi Area, India

Our work was to configure Hadoop based cluster and optimize its performance by varying multiple configuration factors and schedulers to come to an optimal state.