Zoe Hite

Software Engineer — React/TypeScript, machine learning, and cloud.

EmailExperience

About

I’m a software engineer who builds clear, reliable tools — with recent work across healthcare and network monitoring. I enjoy turning ambiguous requirements into well‑designed React and TypeScript interfaces backed by sound APIs and tests.

I coach and lead as well as build — mentoring teammates, organizing work, and communicating clearly with stakeholders. I studied Computer Science at Virginia Tech with a Psychology minor and spent a semester abroad focused on computer science in Siena, Italy.

Graduation portrait at Virginia Tech
At the desk coding — builder at work

Experience

Associate Software Developer· Diverge Health
Remote · November 2025 — Present
  • Built React and TypeScript goal-management interfaces from Figma designs, developing interactive tables, filtering, editing, and REST endpoints to consolidate 3 healthcare workflows into one reusable experience for care coordinators
  • Automated Zoom-link delivery for virtual patient assessments by developing an event-driven SMS pipeline with Apex, asynchronous processing, and Twilio APIs, eliminating manual outreach for health coaches and supporting patient onboarding across New York and Illinois markets
  • Co-developed an AI-assisted deployment platform using Claude Projects, TypeScript, and AWS CDK, standardizing secure containerized deployments so nontechnical users can stand up personalized internal applications
  • Built automated tests and monitoring for healthcare data workflows, achieving 85% test coverage for an AWS S3 patient-file integration and developing a CloudWatch dashboard to surface failures across an asynchronous assessment-processing pipeline
Software Engineer Intern· Kentik
Remote · May 2025 — August 2025
  • Implemented and shipped 5+ user-facing features and UX improvements for Kentik’s Network Monitoring System by developing full-stack solutions with Go, React, and Node.js, boosting device support ticket resolution by 30%
  • Collaborated in Agile sprints with engineers, designers, and product managers, by participating in daily standups, sprint reviews, and technical demos, successfully deploying 3 major features to production and showcasing to stakeholders across the company
  • Reduced developer debugging turnaround time by 15% by leveraging AI tooling and GitHub Copilot to rebuild network connectivity integrations and schemas
  • Awarded Honorable Mention at Kentik’s first hackathon for creating a full-stack gNMI protocol tool with a React frontend and gRPC-powered backend, enabling the company to query remote device data and expand wireless capabilities
Salesforce Intern· PenFed Credit Union
Tysons Corner, VA · May 2023 — August 2023
  • Led a 7-member IT intern team as the sole female leader, coordinating sprint-style planning and task delegation to successfully deliver a capstone AI integration proposal at the company’s summer summit

Education

BS, Computer Science (Psychology minor)· Virginia Tech
Blacksburg, VA · August 2021 — May 2025
CS Study Abroad· University of Virginia — Computer Science Study Abroad
Siena, Italy · January 2024 — May 2024
  • Completed upper-level coursework abroad in Relational Database Management and Artificial Intelligence

Leadership — beyond the keyboard

Head Varsity Lacrosse Coach· Annandale High School
Annandale, VA · December 2025 — Present
  • Lead a 46‑athlete lacrosse program: manage coaching staff, player development, scheduling and logistics, and program communications with athletes, families, and school administration
Assistant Varsity Field Hockey Coach· Annandale High School
Annandale, VA · September 2025 — Present
  • Collaborate with the head coach to plan practices, develop athletes, and prepare game strategy, providing hands-on instruction
On the lacrosse field — coaching walk
Annandale High School Girls Lacrosse team — senior night

Skills

Languages
TypeScriptJavaScriptJavaPythonGoSQLSOQLApexHTMLCSS
Frameworks & APIs
ReactNode.jsREST APIsSalesforce LWCZodTanStack React QueryFlaskgRPC
Cloud & Data
AWS LambdaAPI GatewayS3CloudWatchAWS CDKECS FargatePostgreSQLMySQLSalesforce Health CloudGrafana
Developer Tools
GitGitHubLinuxDockerGitHub ActionsJestPostmanYaakSalesforce DXGearsetClaude / Claude CodeGitHub CopilotAgile / ScrumJiraConfluenceAha!Unit & Integration TestsCI/CDCode Review

Projects

Parking Occupancy Prediction — LSTM Capstone

January 2025 – May 2025

Achieved 90% accuracy predicting parking occupancy across Virginia Tech lots using an LSTM model; integrated predictions into a Flask/MySQL API and React frontend for real-time recommendations.

  • 90% prediction accuracy using TensorFlow/Keras
  • Weighted recommendation engine balancing occupancy, distance, and travel time
PythonTensorFlowKerasFlaskMySQLReactTypeScript

CodeKids Pathfinding Teaching Tool

August 2024 – April 2025

Developed a virtual pathfinding lesson and interactive web tools to teach algorithms and AI concepts, improving programming education for 15+ elementary students.

JavaScriptTypeScriptHTMLCSS

Contact

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