Shentong (Shawn) Wang

Software engineer with experience in backend development, full-stack applications, automation, and AI-driven solutions. Focused on turning practical ideas into reliable software that improves workflows and solves real-world problems.

wangshentong@outlook.com

LinkedIn GitHub

Professional Experience

Research Assistant

McMaster University

Hamilton, ON, Canada · Sep 2024 - Aug 2025

Contributed to a web-based platform that modernized course evaluation by analyzing qualitative student feedback and enabling instructors to adjust teaching mid-semester.
Designed and implemented backend architecture using Flask, SQLAlchemy, MySQL, and Celery for asynchronous task processing, supporting scalable handling of 100+ evaluations per course.
Applied NLP/ML techniques including BERTopic, TextBlob, and spaCy to extract themes and sentiments from student comments, improving the actionability of qualitative feedback.
Containerized and deployed the system with Docker, optimizing build pipelines for compatibility across RHEL and ARM/AMD architectures.

Full Stack Engineer

Christie Digital Systems

Kitchener, ON, Canada · May 2023 - Aug 2024

Developed and maintained 10+ full-stack features using React, Node.js, and SQL, delivering responsive interfaces and reliable backend functionality across core product workflows.
Built and integrated RESTful APIs, implemented server-side logic in Node.js, and wrote optimized SQL queries and schemas to support 1000+ records with efficient data access.
Improved application quality by debugging cross-stack issues, optimizing React frontend performance and SQL operations, and contributing to faster, more scalable feature delivery across the development lifecycle.

Education

University of Waterloo

Master of Engineering in Electrical and Computer Engineering (MEng. ECE)

Waterloo, ON, Canada · 2025 - 2026

CGPA 3.87

McMaster University

Honours Bachelor of Computer Science Co-op, Minor in Statistics

Hamilton, ON, Canada · 2020 - 2025

2020-2021 Dean's Honour List

Publications

Instructor Responses to ML-Based Teaching Evaluation Analysis

2026

Co-author of a peer-reviewed paper published in Assessment & Evaluation in Higher Education based on a capstone/research project on machine-learning-assisted analysis of qualitative mid-semester teaching evaluations.
Contributed to system integration and AI pipeline tuning, helping improve the reliability and usefulness of machine-learning-based analysis of student feedback.
Built and supported the project's web platform, with contributions spanning backend development, infrastructure, and deployment for processing and presenting qualitative course evaluation data.

Featured Projects

Neighborly

2026 - Now

Engineered a full-stack community platform with TypeScript and React Native Web, building reusable frontend components and workflows for cross-platform use.
Architected backend services on AWS with AppSync, DynamoDB, and Cognito, enabling authenticated access patterns, scalable data models, and API-driven application logic.
Used AWS CDK to define and manage cloud infrastructure as code, streamlining deployment, configuration, and long-term maintainability across environments.

Job Auto Apply

2026 - Now

Building a work-in-progress automation library for job application workflows to reduce manual effort in processing postings, extracting required fields, and interacting with employer application systems.
Designing modular execution logic for account registration, login, form completion, and application-state tracking across heterogeneous ATS and career portal environments.
Developing the project with emphasis on maintainability and observability, including structured execution artifacts to support debugging, verification, and iterative system improvement.

Summary of Qualifications

Languages

Python
Java
JavaScript
TypeScript
SQL
C
C++
Go
HTML
CSS

Full-Stack / Backend

React
React Native Web
Node.js
Flask
FastAPI
REST APIs
SQLAlchemy

AI / ML

PyTorch
TensorFlow
scikit-learn
spaCy
Hugging Face
NLTK
BERTopic
Pandas
NumPy

Cloud / DevOps

AWS
Docker
CI/CD
Git
Kubernetes
Kafka
Spark
Hadoop
MLflow