Weibo Wang, Developer in Toronto, ON, Canada
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Weibo Wang

Verified Expert  in Engineering

Software Developer

Toronto, ON, Canada
Toptal Member Since
April 2, 2020

Weibo is a full-stack software engineer experienced in all stages of the development cycle for SaaS projects. He is proficient in a variety of technologies including Vue.js, Python, Flask, Redis, Celery, MySQL, Cypress, and Docker. He also has a research background in natural language processing with publications as the first author. Weibo has the proven ability to learn new techniques quickly and follows established best practices.


Picture Shop - Post Dev
Python, JavaScript, Azure, Django, Django REST Framework, Sentry, PostgreSQL...
HUB International - Main
Python, Amazon Web Services (AWS), Flask, Flask-RESTful, Flask-Admin...
Dash Hudson
Docker, Elasticsearch, MySQL, Flask, Python, Vue, JavaScript, Node.js, Python 3...




Preferred Environment

Adobe Photoshop, PyCharm

The most amazing...

...project I've been working on over the past three years is a SaaS project that now processes 1+ million media and supports 30+ million unique visitors per month.

Work Experience

Full-stack Developer

2021 - PRESENT
Picture Shop - Post Dev
  • Developed a SaaS solution to manage video content and integrate the Azure Video Indexer service to extract metadata from videos.
  • Helped develop dedicated RESTful APIs that are consumed by the iOS app.
  • Improved access control, enabling multi-role collaborating, producing, and managing video assets.
  • Improved the authorization flow, converted from OKTA to Azure Active Directory.
  • Created adapter and RESTful endpoints to collect and manage data from remote ScheduaALL service through SOAP endpoints.
  • Assisted the team in making small feature improvements on other microservices and internal SaaS platforms.
Technologies: Python, JavaScript, Azure, Django, Django REST Framework, Sentry, PostgreSQL, Docker, Pytest, Celery, HTML, MySQL, Amazon Web Services (AWS)

AWS Developer to Build Custom APIs

2021 - 2022
HUB International - Main
  • Developed an automated pipeline to analyze policy and billing data content upon uploading to the S3 bucket by integrating AWS Lambda and Amazon Textract Service into a Flask-based microservice, which I built from scratch.
  • Developed an automated pipeline to do web scraping for certain insurance carriers to collect policy billing data.
  • Organized collected billing and policy data in a standard and normalized way in the DB that is easy to query.
  • Developed endpoints to acquire an authentication token to perform the REST endpoints, including CRUD PDF, analyze tasks/scrapping tasks from different business units/carriers, and CRUD collected policy data and billing data.
  • Integrated flask-smorest to enable auto-generated API docs.
  • Built the admin page behind separate authentication to manage DB models and API users.
  • Converted Dockerized items to Helm Charts and helped deploy the service in Kubernetes clusters. Set up integrated AWS resources from the AWS console.
  • Provided clear documentation on how to maintain the codebase, run locally, and deploy to AWS.
  • Set up health monitors in Datadog and Sentry for the application.
Technologies: Python, Amazon Web Services (AWS), Flask, Flask-RESTful, Flask-Admin, Flask-Marshmallow, SQLAlchemy, Datadog, Sentry, Docker, Kubernetes, Helm, Pytest, Celery, PostgreSQL

Engineering Manager and Senior Software Engineer

2017 - 2022
Dash Hudson
  • Collaborated with the team to build a visual marketing SaaS platform that provides a one-stop solution to create, measure, and predict performance, see trends, enhance engagement, and distribute content to popular social media platforms.
  • Led multiple big front-end features with complicated UI requirements and built multiple front-end modules from scratch for the company's SaaS platform.
  • Built multiple microservices from scratch to support massive social media data imports and storage sourced from Twitter, Instagram, Facebook, and Pinterest. Built RESTful APIs empowered by Elasticsearch. Managed periodic tasks and async job queues.
  • Built and launched a Chrome extension to extend our support of the SaaS platform to our customers.
Technologies: Docker, Elasticsearch, MySQL, Flask, Python, Vue, JavaScript, Node.js, Python 3, SQLAlchemy, Redis, Flask-RESTful, HTML, Pytest, Celery, Amazon Web Services (AWS)

Lead Software Developer

2020 - 2020
Construction Disputes, LLC
  • Refactored an existing legacy project and developed a SaaS platform that helps users file construction claims or acquire construction bonds. Enriched the current admin back-end to make it easier to use.
  • Introduced automated testing tools, user behavior analysis tools, and project management tools to improve the development process. Integrated the platform with HubSpot to assist with marketing operations.
  • Involved in feature and UI design and proposed new functions to improve user experience.
  • Maintained the production server and staging server. Handled each feature test, deployment, and release. Oversaw the project launch.
Technologies: Cypress, HubSpot, PostgreSQL, Vue, Django, jQuery, JavaScript, Node.js, Python 3, SQLAlchemy, HTML, Python, Pytest, Celery, MySQL, Amazon Web Services (AWS)

Full-stack Developer, Project Manager

2015 - 2017
  • Solely created an iOS App integrated with a NFC card reader to charge delivery fees and save delivery record for a food delivery company. It comes with restaurant dashboard and admin dashboard to CURL delivery records, export invoices.
  • Led a team to create an image sharing app that has roles including visitors, artists, and admin. It works similarly to Instagram but only artwork can be posted.
  • Created a hybrid donation app using Angular and Django to collect donations for communities.
  • Provided Swift training courses for students at Dalhousie University on behalf of Ubielife Inc.
Technologies: Django, AngularJS, JavaScript, Node.js, Python 3, SQLAlchemy, Redis, Flask-RESTful, HTML, Python, Django REST Framework, Pytest, Celery, MySQL

Online Shop
A Vue.js and Flask-based website to display products to export and sale. I did everything (front-end, back-end, containerization, deployment) all by myself. The web page is integrated with TIDIO to support real time online chatting.

Dash Hudson SaaS Platform
A Vue.js based SaaS platform supported by multiple backend microservices. In front-end, I've worked on most of the modules. In the back end, I've created multiple microservices from scratch in order to import data from social media platforms, handle real-time queries, and manage asynchronized job queues and periodic tasks.

Dash Hudson Chrome Extension
I solely built and released this Chrome extension for my company to provide extended services of our current SaaS platform users. It makes it easier to import content to their library and makes it easy to apply Dash Hudson's vision technology in real time.

Construction Disputes SaaS Platform
In the construction industry, it's common to see that a constructor, subcontractor, or material supplier performed the required work but didn't get paid. The process of hiring a lawyer and chasing the money could be complicated and expensive. Therefore we built a SaaS platform that assists users to file bond claims or acquiring surety bonds online.

This app provides a straightforward and simple process to acquire necessary claim information from users and provides flexible ways for multiple users to collaborate on filing individual cases. The app also provides a very clear UI to ensure the user is on track with any progress updates.

My role was the lead developer, and I worked for six months on this project. I successfully refactored the legacy project and rebuilt the whole filing process and admin backend. My work involves implementing new functionalities in both the front end and back end, collecting and analyzing user behavior data, and proposing solutions to improve. I also maintained the production server and staging server, and I managed the test, deploy, and release process for each feature.


Python, HTML, CSS, Python 3, JavaScript, R


Flask, Django, Django REST Framework, AngularJS, Cypress, Spark


SQLAlchemy, jQuery, Vue 2, Vuex, Flask-RESTful, Flask-Marshmallow, Vue, REST APIs, Node.js, TensorFlow


MySQL, PostgreSQL, Redis, Elasticsearch, Datadog


Celery, Pytest, PyCharm, Sentry, Helm


Docker, Amazon Web Services (AWS), Azure, Kubernetes


HubSpot, Natural Language Processing (NLP), Machine Learning, Flask-Admin, GPT, Generative Pre-trained Transformers (GPT)

2014 - 2016

Master's Degree in Computer Science

Dalhousie University - Halifax, NS, Canada


AWS Certified Developer

Amazon Web Services


AWS Certified Cloud Practitioner

Amazon Web Services