const engineer = {
  name: "Dhyey Patel",
  role: "Software Engineer",
  university: "Arizona State University",
  gpa: 3.78,
  focus: [
    "Cloud", "Distributed Systems",
    "AI/ML"
  ]
};

Cloud · Backend · AI/ML

Hello, I’m

Dhyey Patel

Software Engineer

San Francisco, CA

17.7K+decisions / day
99%precision
740decisions / hour

Get To Know More

About Me

Education

Arizona State University

M.S. Computer Software Engineering
Jan 2025 – Dec 2026

GPA: 3.78 / 4.0Tempe, AZCloud Computing & AI
Education

Gujarat Technological University

B.E. Information Technology Engineering
Oct 2020 – Jun 2024

GPA: 9.21 / 10.0Ahmedabad, IndiaML & Computer Vision

I’m a software engineer pursuing my Master’s at Arizona State University. I build reliable, cloud-native systems—from responsive full-stack applications to event-driven platforms that process production workloads at scale.

At Amazon Music, I built a decision platform processing 17.7K+ catalog decisions per day at 99% precision.

Experienced in AWS serverless architecture, Docker, Kubernetes, CI/CD, observability, and distributed systems.

Strong across Python, Java, C++, TypeScript, and JavaScript, with hands-on backend, frontend, and AI/ML experience.

Go to experience

Where I’ve Made an Impact

Experience

Xmatiq Technologies · Techforever Solutions LLP

Full-Stack Developer Intern

Ahmedabad, Gujarat, India

  • Developed Node.js, Express.js, and MongoDB services and REST APIs for ERP systems, improving data-processing efficiency by 80%.
  • Built a PHP and MySQL web application with validation, error handling, and third-party payment integration.

Ingenious Technologies

ReactJS Intern

Vadodara, Gujarat, India

  • Implemented JWT-secured REST APIs supporting 200+ requests per minute with 99% uptime.
  • Added lazy loading and optimized state management, reducing page-load time by 30%.
Go to skills

My Technical Toolkit

Skills

Languages

PythonC++JavaSQLTypeScriptJavaScript

Systems & Backend

LinuxFastAPISpring BootNode.jsRESTful APIsCelery

Cloud & Distributed Systems

AWSDockerKubernetesLambdaSQSStep FunctionsDynamoDBS3

Databases & Caching

PostgreSQLMySQLMongoDBRedis

Frontend

ReactHTML5CSS3

DevOps & Testing

GitGitHub ActionsJenkinsCI/CDJestMockitoPostman

AI & Machine Learning

PyTorchTensorFlowTransformersAWS BedrockScikit-learn
Go to projects

Selected Engineering Work

Projects

PyTorch · WavLM · Scikit-learn
〽️

Aug 2025 – Present

Speaker-Independent Speech Emotion Recognition

Built an eight-class, speaker-independent speech inference pipeline with pretrained WavLM representations, statistical pooling, PCA, and downstream classification, achieving 82% test accuracy.

82%test accuracy
AWS EKS · Terraform · Helm
☁️

Aug 2025 – Dec 2025

Cloud-Native Microservices Platform

Deployed containerized Python services to AWS EKS with Docker, Kubernetes, Terraform, and Helm. Added CI/CD plus Prometheus and Grafana monitoring for repeatable deployments and operational visibility.

React · FastAPI · PostgreSQL
🎙️

Feb 2025 – Jun 2025

NextMeet-AI Meeting Companion

Built an AI meeting companion for transcription, summaries, and action items. Celery and Redis decouple long-running AI workloads while the frontend presents responsive, real-time task progress.

React · TypeScript · Cloudflare

Sep 2025 – Oct 2025

Nebula Spotlight

Built an AI-powered Chrome extension that automates browser interactions from natural-language commands using a universal DOM element-resolution framework. Added secure Cloudflare Worker APIs, client-side PII masking, caching, and prompt orchestration.

Lambda · SQS · DynamoDB

Jan 2026 – Mar 2026

Event-Driven Order Management System

Architected independently scalable order, inventory, and analytics services. Implemented idempotent consumers, queue-based decoupling, authentication, and failure handling for reliable distributed workflows.

3rd Place — Intel Hack the Vision 2025
Contributed to an open-source project for Intel’s AI-powered chipset.

Go to contact

Get in Touch

Contact Me

Have a role, project, or interesting engineering problem in mind? Let’s talk.

San Francisco, CA