Role
AI Engineer Intern
Location
Charlotte, NC
Status
Open to opportunities
// 001 — Introduction

ChristopherZhang.

Hi! I'm Christopher Zhang, a Brown University Sc.B. Computer Science & A.B. Business Economics student-athlete, currently interning as an AI Engineer at Scout Motors.

View Selected WorkInitiate Contact
001 — Education

Academic background.

Expected May 2028

Brown University

Sc.B. Computer Science & A.B. Business Economics

GPA: 3.93/4.00 · Varsity Student-Athlete

Coursework
SWEData Structures and AlgorithmsAIDeep LearningComputer SystemsDiscrete Math
002 — Skills

Skills.

Programming languages, frameworks, data stores, and delivery tooling I use to build and ship.

/01

Programming Languages

Python
JavaScript
TypeScript
Go
/02

Frameworks & Libraries

React
Node.js
Next.js
Playwright
MediaPipe
/03

Databases & Storage

PostgreSQL
MongoDB
Redis
/04

Tools & Platforms

Git
Docker
AWS
EKS, Lambda, Bedrock, EC2
Kubernetes
Argo CD
Kargo
n8n
003 — Experience

Work experience.

Roles where I shipped production systems.

/01
May 2026 — Present
Charlotte, NC

Scout Motors

AI Engineer Intern
  • Engineered an AI security assistant using Copilot Studio and Jira, reducing projected support costs by $800K annually.
  • Designed and deployed a self-service developer platform automating application provisioning, repository creation, and Kubernetes deployments, reducing application onboarding from 7 steps to 1 across 4 standardized service templates.
  • Architected the platform backend with AWS Lambda, Amazon Bedrock, and Terraform to translate natural language requests into automated application deployment workflows.
  • Developed an MCP server and Go Kubernetes monitoring service using client-go informers, ingesting cluster state into PostgreSQL to enable application triage, health checks, environment comparison, and AI-assisted remediation.
Copilot StudioJiraAWSBedrockTerraformGo
/02
June 2025 — August 2025
Remote

Mandy

Software Engineer Intern
  • Built an AI-powered room redesign platform that transforms user-uploaded room images into personalized interior designs and generates relevant product recommendations.
  • Engineered a full-stack application using Next.js, TypeScript, Clerk, IMGBB, and Vercel, developing pipelines for image uploads, AI-generated redesigns, user onboarding, and personalized recommendations.
  • Created a recommendation pipeline mapping user preferences to Amazon furniture suggestions with personalized filtering.
Next.jsTypeScriptClerkIMGBBVercel
004 — Projects

Projects.

Selected work — open any project for a short case study.

/01
SwimVolt
Live — swimvolt.com
Turns a ten-second phone clip into 45 biomechanical measurements of a racing start, and names the three worth fixing. RTMPose on a Modal T4, deterministic scoring in TypeScript, and repeatability measured by filming every dive twice. Live with 100+ users.
Next.jsTypeScriptPythonRTMPoseModalPostgresStripe
/02
AI Job Hunting Agent
Live demo
AI resume workflow that finds roles, tailors resumes, and tracks applications. Node.js and Cheerio scraping pipeline with GPT-4o-driven tailoring, Postgres storage, and application tracking.
Next.jsTypeScriptNode.jsPostgreSQLCheerioClaudeGPT-4o
/03
Dating Profile Analyzer
AI feedback engine for dating photos and bios. Face-aware image scoring, bio analysis, and practical profile rewrites.
ReactTypeScriptNode.jsFirebaseGemini AI
/04
TripPlanner
Route planning tool with privacy-aware export. A* optimization, map overlays, and pseudonymized analytics.
TypeScriptReactExpress.jsFirebase
/05
Vision Transformer Evaluation Framework
Benchmarking ViT and CNN models. Poster-driven evaluation workflow for comparing ViT and CNN variants, metrics, and experimental findings.
PythonPyTorchViTCNNsComputer Vision
005 — Contact

Let's connect.

Email

Resume
Download PDF
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GitHub
github.com/christopher895
LinkedIn
linkedin.com/in/christopher-zhang1
Email
christopher_zhang@brown.edu