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Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GOOGLE AI ENGINEER
June 14, 2026 – Present
content-gen-engine
June 25, 2025 – August 26, 2025
content-gen-engine — GitHub repository
View Projectsdf-networking-architecture
December 1, 2022 – December 30, 2022
Catalog of the commonly used networking architectures
View Projectmulti-tenant-gke-cluster
June 21, 2022 – September 14, 2022
Terraform and Kubernetes code to provision a mutli region, multi tenant GKE cluster.
View ProjectSingle-tenant-GKE-Cluster
May 6, 2022 – December 6, 2022
Single-tenant-GKE-Cluster — GitHub repository
View Projectazure-cleanup-empty-rg
January 7, 2021 – January 7, 2021
Find and delete empty resource groups in Azure using Powershell
View Projectaws-lambda-csv-2-dynamodb
December 3, 2020 – December 4, 2020
Use Terraform to deploy an AWS lambda function that reads the CSV files uploaded to S3 bucket and adds the records in DynamoDB.
View Projectreact-crud-dotnet-api
May 24, 2020 – March 27, 2024
React CRUD application with C# Web API as backend
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a focus on infrastructure, automation, and some web development. While there's a stated target role of 'GOOGLE AI ENGINEER' and an experience entry for it, the projects themselves do not strongly align with advanced AI/ML engineering, deep learning, or large-scale AI system design. This indicates a potential gap in direct cultural fit for a specialized AI role without further evidence of AI-specific skills or projects. The breadth of skills is present in infrastructure, but not deeply in AI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.