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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
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
Application Systems Analyst / Senior Quality Analyst
ontario power authority | Toronto, Canada Area
2009 - 2011
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)
gauXXXXXXXXXXXXXXXXXcaMobile Number
+91XXXXXXXXXXEducation
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
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