rachel-deng — ide
terminalproblemsoutput
~ whoami

rachel deng

cs specialist @ university of toronto, with a focus in AI
experience in building distributed systems, large-scale backend systems, full-stack development

swe intern @ moab, nyc

prev: sde intern @ aws dynamodb, sea

~ ls skills/
languages/
python java typescript javascript c c++ golang ruby html/css
frameworks/
react next.js svelte node.js flask fastapi spring-boot
cloud/
gcp (bigquery, vertex-ai, cloud-functions) firebase aws docker github-actions ci/cd
databases/
postgresql mysql mongodb firestore
ml/
scikit-learn tensorflow pandas numpy r
~

# experience

Moab

Software Engineer Intern

Sept 2026 – present · New York, NY

  • Incoming Fall 2026.

Amazon Web Services

SDE Intern · DynamoDB Indexing

May 2026 – Aug 2026 · Seattle, WA

  • Shipped memory-based load shedding in Java for the service replicating DynamoDB index updates, keeping an overloaded host from stalling the workloads it carries.
log-propagator.sim

Fable Social

Full-Stack Software Engineer

Nov 2024 – Jan 2026 · Toronto, ON

  • Built a real-time GCP data pipeline and the REST APIs behind it, bringing search and usage analytics to a growing social platform.

University of Toronto Engineering Students Consulting Association

VP Web Team · Full-Stack Developer

Aug 2024 – May 2026 · Toronto, ON

  • Led the web team in building an internal portal and headless CMS, replacing manual site updates and Google Forms registration for the association.

University of British Columbia Geering Up

Outreach Facilitator

Jun 2024 – Aug 2025 · Vancouver, BC

  • Designed and taught a week-long machine learning curriculum, taking high-school students from no background to training and performing inference using their own models.

# projects.md

Fable Social

Firestore · BigQuery · Vertex AI · Flask · Docker

Real-time data pipeline and the REST APIs behind a social platform's search and analytics.

UTESCA Portal

Next.js · FastAPI · PostgreSQL · Resend

Internal portal and headless CMS that syncs to the public site, plus end-to-end registration.

Geering Up ML

scikit-learn · TensorFlow · pandas

A week-long machine learning curriculum taught at the University of British Columbia and Electronic Arts Vancouver.

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