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Gaurav Patel

Platform Engineer - Machine Learning at Adobe | Certified Kubernetes (CKA,CKAD) | Certified AWS | AI | Machine Learning | MLOps | GitOps| Helm | DevOps | SRE | Infrastructure

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About

Gaurav Patel is a Senior Site Reliability Engineer at Adobe with over 14 years of experience in various technical roles. He started his career as a Developer in 2006 and transitioned into Automation, where he worked for 10 years. Later, he moved into operations and worked with operations-related tools for almost 5 years. Gaurav has a passion for cloud computing and building/supporting cloud-native applications. Gaurav is a continuous learner and enjoys exploring new and uncomfortable technologies to design and deliver better solutions. He has achieved several certifications, including Certified AWS Solution Architect, Certified AWS Developer, Certified AWS Cloud Practitioner, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Certified in Linux Professional Institute - Level I, Gitlab Certified Associate, Certified in International Software Testing Qualifications Board, and Certified SAP Business Warehouse. Currently, Gaurav is working at Adobe, where he is responsible for orchestrating infrastructure in Kubernetes using EKS, deploying infrastructure in AWS using Helm infrastructure as code, and developing REST endpoints in NodeJS to migrate users and data to Auth0. He has also developed Python Automation Framework and Python Integration Framework and migrated them to Gitlab pipelines to optimize Continuous Delivery of the project. Additionally, he is working on breaking down monolith to microservice architecture and monitoring using Grafana. In his previous role at workfront, an Adobe company, Gaurav automated and orchestrated Multi-Cluster infrastructure in Kubernetes, worked on Service Catalog to monitor highly complex microservices, and deep-dived into the migration of Native AWS Infrastructure to Kubernetes using Terraform and application deployments using Helm Chart. He also created an Automation suite using Python Datadog API to create SLI/SLO via Manifest files using CI/CD pipelines. Gaurav has a Bachelor of Computer Science (Accredited Degree) from the University of Toronto, an Internet System Administration degree from Seneca College, and a Masters of Science in Information Technology from South Gujarat University. His tech stack includes SRE, AWS, infra, Kubernetes, Terraform, Senior Software Engineer, DevOps, test, Python, Integration, Microservices, CI/CD, NodeJS, Selenium, Docker, Jenkins, and Frontend.

Education

the university of texas at austin

university of toronto

seneca polytechnic

south gujarat university

Companies

adobe

instructure

amex

software technology group

overstock.com

ontario power authority

sales spider inc.

starnix inc.

jp morgan bank

Experience

16.8 Years

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Experience

Distributed Training Platform Architect/ML InfraOps Engineer (Firefly)

adobe | Lehi, Utah, United States

2020 - Present

Senior Site Reliability Engineer

adobe | Lehi, Utah, United States

2020 - 2020

Tech Lead / DevOps Engineer

instructure | Greater Salt Lake City Area

2016 - 2020

Build And Release Engineer

amex | Greater Salt Lake City Area

2015 - 2016

Sr. Performance Engineer

software technology group | Greater Salt Lake City Area

2014 - 2015

Senior Software Development Engineer Test

overstock.com | Utah

2011 - 2014

Application Systems Analyst / Senior Quality Analyst

ontario power authority | Toronto, Canada Area

2009 - 2011

Sr. Quality Analyst

sales spider inc. | Toronto, Canada Area

2008 - 2009

Quality Analyst

starnix inc.

2007 - 2008

Quality Engineer

jp morgan bank | Toronto, Canada Area

2006 - 2007

Skills

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Amazon Web Services (AWS)

architecture

Artificial Intelligence (AI)

Automation

CI/CD

Cloud Computing

Continuous Delivery

Continuous Integration

Cypress

Data Pipelines

Datadog

Design

DevOps

Docker

Frontend

Gitlab

infra

Infrastructure

Integration

Jenkins

Jest

JMeter

Kubernetes

linux

Machine Learning (ML)

Microservices

MLOps

NodeJS

npm

operations

performance testing

Python

Representational State Transfer (REST)

Resource Management

REST

SaaS

SAP

Selenium

Senior Software Engineer

Site Reliability Engineering

Software Testing

SRE

Terraform

test

testing

Troubleshooting

Contact Details

Email (Verified)

gauXXXXXXXXXXXXXXXXXca

Mobile Number

+91XXXXXXXXXX

Education

the university of texas at austin

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: BUSINESS APPLICATIONS

2023 - 2024

university of toronto

Bachelor of Computer Science (Accredited Degree)

2008 - 2008

seneca polytechnic

Internet System Administration

2006 - 2007

south gujarat university

Masters of science in Information Technology

2000 - 2005

Frequently asked questions

What company does Gaurav Patel work for?

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Gaurav Patel works for adobe

What is Gaurav Patel role in his workplace?

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Gaurav Patel's role in his workplace is Distributed Training Platform Architect/ML InfraOps Engineer (Firefly)

What is Gaurav Patel's tenure in his workplace?

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Gaurav Patel's tenure in his workplace is 4.09 years

What is Gaurav Patel's total experience?

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Gaurav Patel's total experience is 16.75 years

What is Gaurav Patel's LinkedIn profile?

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Gaurav Patel's LinkedIn profile can be found here

What is Gaurav Patel's email address?

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Gaurav Patel's email address is gauXXXXXXXXXXXXXXXXXca. Unlock here

What is Gaurav Patel's phone/WhatsApp number?

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Gaurav Patel's phone number is +91XXXXXXXXXX. Unlock here

What schools did Gaurav Patel attend?

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Gaurav Patel has attended the university of texas at austin, university of toronto, seneca polytechnic, south gujarat university

What companies has Gaurav Patel worked with?

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Gaurav Patel has worked with adobe, adobe, instructure, amex, software technology group, overstock.com, ontario power authority, sales spider inc., starnix inc., jp morgan bank

What are some of Gaurav Patel's skills?

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Gaurav Patel has skills in Amazon Web Services (AWS), architecture, Artificial Intelligence (AI), Automation, CI/CD, Cloud Computing and more.

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