I'm Theodore Pei.

I'm a Master's student in Computer Science at Northeastern, based in Vancouver. I work on backend systems and ML infrastructure, mostly in Go and Python. Before CS I studied Economics and Finance, which still shapes how I think about tradeoffs in engineering.

When I'm not coding, I'm probably skiing at Whistler, taking photos, or tweaking my notes system.

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About me

I'm a CS Master's student who came into tech from a finance background. These days I spend most of my time on distributed systems, cloud infrastructure, and machine learning. I like projects where I can actually build the thing end-to-end, from the architecture diagram to the Grafana dashboard. Outside of class, I ski, take photos, and read more about learning science than is probably useful.

Location:Vancouver, BC, Canada
Nationality:Chinese
Interests:Skiing, Photography, LLM
Study:Northeastern University
Employment:Open to Backend SDE Co-op (Fall 2026)

Education

M.S. in Computer Science

Northeastern University, Vancouver•Sept 2024 - Aug 2027

B.Econ in Finance

Minzu University of China, Beijing•Sept 2020 - Jun 2024

Skills

Here you can show a snapshot of your skills to show off to employers

Spoken languages

Chinese (Mandarin)

English

Backend

Go / Gin

Python

Java

REST / Microservices / Saga

RabbitMQ / Event-Driven

Cloud & Infrastructure

AWS (ECS, RDS, DynamoDB)

Terraform

Docker

GitHub Actions

Data & ML

MySQL / MongoDB

PyTorch

Quantization

Observability

Prometheus / Grafana

Check out some of my work

Distributed Order Processing System

An e-commerce order backend split into small services that never oversell stock, even under load — wired up with end-to-end metrics so I could trace and fix the slow steps.

VAD Model Compression

Shrunk a speech-detection model 4× so it can run on phones and embedded chips — then dug into why a few predictions quietly got slower or less accurate after compression.

Distributed Book Recommendation

A book recommender that chews through 30GB+ of public library data by splitting the work across 26 cloud workers — figuring out which steps actually benefit from going parallel and which just add overhead.

Financial Sentiment Analysis & Agent

Fine-tuned a small language model to read financial news and judge whether it's bullish, bearish, or neutral — then wrapped it in a chat agent that pulls live headlines and answers finance questions end-to-end.

Get in touch.

Open to Backend SDE Co-op opportunities for Fall 2026. Always happy to chat about distributed systems, ML infra, or skiing in Whistler.

Email: jiamingpei16@gmail.com
Location: Vancouver, BC, Canada