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Full-Stack Developer · AI Platforms & Agents

JayPatel

I build AI-powered platforms that ship — owning everything from pixel to pipeline.

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Open to opportunities
01

About

I'm Jay — a full-stack developer building enterprise AI applications at scale.

I work end-to-end: designing the interface, building the backend, integrating AI systems, and shipping the infrastructure that runs it all. Right now I'm diving deeper into AI agents and what's possible at the frontier.

Currently working with

languagesTypeScriptPythonGolangJavaJavaScript
frameworksNext.jsReactNode.jsDjangoFlaskSpring Boot
cloud and infraAWS (ECS, Bedrock, Lambda, S3)AzureTerraformDockerKubernetes
ai and dataAI AgentsStreaming APIsAmazon BedrockLLMsMongoDBPostgreSQLRedshift
devopsJenkinsArgoCDPrometheusGrafanaGitHub Actions
Jay Patel
Fig. 01 — Jay PatelHuman in the loop
02

Education

Sep 2022 – May 2024

Stevens Institute Of Technology

Candidate for Masters in Computer Science (MSCS) · Hoboken, NJ

Coursework —Cloud Computing, Agile Methods for Software Development, Artificial Intelligence, Data Analytics & Machine Learning, Database Management Systems

GPA 3.7
Jul 2017 – May 2021

Gujarat Technological University

Bachelor in Computer Engineering · Anand, India

Coursework —Data Mining & Business Intelligence, Artificial Intelligence, Mobile communication and Networking, System Programming, Information & Network Security

GPA 8.39/10
03

Selected Work

MagicDot Solar

Node.js, MongoDB, Handlebars, Docker, Kubernetes, Jenkins, Terraform, SonarQube, Prometheus

  • Full-stack web application for a solar energy company with dashboards for employees and customers, built with Node.js, Express.js, MongoDB, and Tailwind CSS.
  • Streamlines solar operations including task handling, customer support, sales, contract management, and crew task management.
  • CI/CD pipeline with Jenkins, SonarQube, Docker, and deployment to AWS EKS via ArgoCD.
  • Infrastructure as Code with Terraform; monitoring via Prometheus and Grafana.

AWS Resource Manager

React, Django, Terraform

  • Full-stack app (Django + React) for automated AWS resource cleanup, optimizing infrastructure utilization and reducing costs.
  • Automated deletion of unused AMIs, EBS volumes, ECR repos, ECS/EKS clusters, IAM users, key pairs, RDS snapshots, and security groups via configurable retention policies.
  • Infrastructure drift detection by parsing Terraform state files against live AWS resources.
  • Intuitive React UI for resource selection, drift detection, and cleanup status.

AWSDriftGuard

Python, Boto3, Terraform

  • CLI tool to detect drift between live AWS infrastructure (EC2, S3, RDS, IAM Roles, etc.) and Terraform state files.
  • Integrated Slack API for automated drift notifications to team channels.
  • Supports 'detect' mode (console output) and 'report' mode (Slack integration) with comprehensive drift reports.

Index / More work

05 / What's next

Let's build something that ships.

My inbox is always open — for roles, collaborations, or just to talk about agents. I'll get back to you.