Jheel Patel

Cloud. Automation. AI.

Hey there,
I am Jheel Patel

Master’s in Software Engineering @ RIT

Cloud & DevOps Engineer | AWS | GCP | Automation | IaC | AI on Cloud
Optimizing Performance, Security & Cost in the Cloud
📌 Open to New Roles | Let’s innovate together!

Let’s connect!
Resume

My services

Cloud

Having 3+ years of experience in Google Cloud and AWS Cloud, I bring a proven track record of optimizing cloud deployments for performance, security, and cost efficiency. My expertise includes designing scalable and reliable cloud-native systems, automating infrastructure, streamlining CI/CD pipelines, and integrating AI-driven solutions.

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Automation

Site Reliability Engineering (SRE) focuses on reliability, scalability, and performance, with automation at its core. I specialize in cloud automation, DevOps, and system optimization, leveraging AWS, GCP, and monitoring tools to build scalable, high-availability architectures and enhance operational efficiency.

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AI

AI has long powered IT and software systems by automating decision-making for business needs. With expertise in ML, Deep Learning, and managed AI services (from AWS, OpenAI and GCP), I design and deploy scalable, cost-efficient AI solutions—whether custom models or seamless AI integrations.

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Skills

Cloud

Google Cloud, Amazon Web Services.

Programming & Development

Python, Java, C, SQL, HTML, CSS, Datastructures, Algorithms, Object-Oriented Design and Development, Object-Relational Mapping, Spring Framework, Hibernate, Backend Development, Microservices, REST API, Python Data Science Libraries, Code Review & Refactoring.

Automation

Git, Terraform, Ansible, Chef, Puppet, Pulumi, CloudFormation, Docker, Kubernetes, Maven, GitHub Actions, GitLab, Shell Scripting, Jenkins, API Integration, IaC, GitOps, DevOps, DevSecOps, MLOps.

Other Technologies

SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Neo4J, BigQuery, DynamoDB, Datastore), Looker Studio, Network Security, Machine Learning, Deep Learning.

Experience

Cloud Engineering Analyst

July 2021 to July 2023. Searce, India

Cloud Optimization & Security: Optimized GCP and AWS deployments for performance and reliability; enhanced security on GCP and AWS by refining IAM, firewalls, WAF, and using security-oriented architectures.

Cloud Wellness Assessment: Designed and automated assessments focusing on Security, Cost, Reliability, Operational Efficiency, and Performance (AWS well-architected framework), reducing manual efforts by 65%.

Operational Efficiency: Integrated cloud monitoring with ITSM platforms, improving incident reporting efficiency by 20%.

Cloud-Native Solutions: Designed, implemented and maintained cloud-native solutions on GCP and AWS.

Large-Scale Migrations: Engineered the migration of 700 TB (3 billion objects) from AWS S3 to GCS, reducing migration time by 60% and costs by 30%.

Infrastructure as Code (IaC) and GitOps: Developed Terraform and CloudFormation templates; managed CI/CD pipelines using GitHub Actions, Cloud Build, AWS CodeBuild, and Jenkins.

Network Security: Deployed Next-Generation Firewalls (Fortinet, Palo Alto) with a Hub-and-Spoke network model on GCP, enhancing security and scalability.

Technical Support & Collaboration: Guided L2 engineers on GCP and AWS technical challenges; supported complex cloud environments.

Cloud Operations Intern

January 2021 to June 2021. Searce, India

Cloud Migration Expertise: Key contributor to a seamless Azure-to-Google Cloud migration, driving infrastructure modernization and authoring a detailed case study on best practices and client value.

Kubernetes Security: Designed and implemented a solution to synchronize Kubernetes secrets with Google Secrets Manager, enhancing security for production workloads.

Automation & Cost Optimization: Developed a cleanup automation tool for managing Google Cloud playground projects, integrated with Slack for real-time alerts, achieving cost savings and reducing security risks.

Certifications