Carlson Lau, Developer in Toronto, Canada
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Carlson Lau

Verified Expert  in Engineering

Full-stack Developer

Toronto, Canada
Toptal Member Since
May 2, 2022

Carlson is a full-stack developer experienced in developing front end, back end, and CI/CD pipelines. He has experience working in big tech companies such as Amazon, Okta, and IBM, as well as AI startups. Carlson specializes in full-stack web development but also has expertise in scalable database design and DevOps automation.


Amazon Elastic Container Service (Amazon ECS), Amazon Web Services (AWS), React...
JavaScript, Python, React, MySQL, MongoDB, Node.js, Java, Docker...
Eight & Co
React, Firebase, MySQL, Node.js, SQL, Back-end Development...




Preferred Environment

React, Node.js, Python, Amazon Web Services (AWS), MongoDB, MySQL, Express.js, Material UI, Stripe, Firebase

The most amazing...

...project I've developed single-handedly is an education platform used by the top-ranking university in Canada with hundreds of registered students.

Work Experience

Senior Software Engineer

2023 - 2024
  • Led the development of 10+ different microservices and web applications using React, Node.JS, Python, and AWS.
  • Led a team of five engineers as a UI developer to build optimized, scalable React web apps for internal data visualization services using Material UI and Figma.
  • Reduced the time needed to create a new release by 40% from the new platform's UI/UX and performance optimization.
  • Initiated cost reduction processes and automation, saving the company over 500,000 USD a year.
Technologies: Amazon Elastic Container Service (Amazon ECS), Amazon Web Services (AWS), React, JavaScript, Node.js, Java, Python, Material UI, OpenAI, API Integration

Software Engineer II

2021 - 2023
  • Developed a new CI/CD platform using React, HTML, CSS, and MUI for the front end and Java Spring Boot for REST APIs on the back end. It automates running Bash scripts to test and build Docker images.
  • Led the development of a microservice to run batch ETLs and perform data aggregations from MySQL to MongoDB with Node.js, which can handle over 20 million requests a day.
  • Created and optimized MySQL queries, reducing the time from over 20 seconds to under two seconds.
Technologies: JavaScript, Python, React, MySQL, MongoDB, Node.js, Java, Docker, Amazon Elastic Container Service (Amazon ECS), AWS Lambda, SQL, APIs, Back-end Development, Front-end Development, Amazon Web Services (AWS), Web Security, Full-stack, Full-stack Development, REST APIs, Databases, Web Development, User Experience (UX), User Interface (UI), GitHub, Front-end, Architecture, Front-end Architecture

Full-stack Developer

2018 - 2022
Eight & Co
  • Developed a React web app that graphs user data and generates relationship and network graphs based on data analytics from a MySQL database.
  • Created a custom graphing framework using D3.js that can generate a range of charts and dynamically create nodes to represent data points and their relation to others.
  • Used Gmail and Outlook APIs to aggregate data to be stored in the MySQL database and hosted the platform on Google Compute Engine.
Technologies: React, Firebase, MySQL, Node.js, SQL, Back-end Development, Front-end Development, APIs, Heroku, JavaScript, Full-stack, Full-stack Development, REST APIs, JSON, Databases, Cron, CSV, Web Development, CSS, HTML, UI Design, User Experience (UX), User Interface (UI), Data Visualization, Front-end, GitHub, Front-end Architecture, API Integration, Instagram API

Software Engineer I

2020 - 2021
  • Automated application deployments using Terraform and Amazon ECS clusters.
  • Directed the development of automated health metric services of our CI/CD pipeline to aid on-call using Node.js and Python.
  • Created and optimized MySQL queries to fetch user data, reducing the time from over 20 seconds to less than two seconds.
Technologies: React, Node.js, Java, PostgreSQL, Amazon Web Services (AWS), JavaScript, REST APIs, JSON, Databases, Web Development, Django

Software Development Engineer Intern

2020 - 2020
  • Developed a dynamic log parsing module in TypeScript in the Alexa media processing team.
  • Integrated latency statistics for WebRTC media applications build on the media processing platform, using C and GStreamer.
  • Created a visualizer of complex relational graphs, using React and D3.js, of Alexa's media pipeline using data from my log parsing module.
Technologies: React, Node.js, C, Amazon Web Services (AWS), TypeScript, JavaScript, REST APIs, Databases, Web Development, API Integration

Back-end Cybersecurity Intern

2019 - 2019
  • Developed the pipeline deployment using Docker, Kubernetes, Artifactory, Jenkins, and Ansible playbooks in my DevOps scripts to automate the management of Docker images in development and production.
  • Automated code scans to detect bugs and code smells by integrating SonarQube to our Jenkins pipeline, which reduced 200+ critical bugs.
  • Dockerized the monolith architecture into an elastic pipeline with cloud architecture.
Technologies: Java, Apache Kafka, Docker, Jenkins, SonarQube, PostgreSQL, Databases

Machine Learning Engineer

2018 - 2019
Athena Education
  • Developed NLP engines to determine the correctness of a student's answers to a given question using a NER model.
  • Used big data in creating classifiers that will automatically guide students to discover their weaknesses, such as grammar, diction, and sentence structure.
  • Implemented a scalable and flexible model in both English and Chinese.
Technologies: Python, PyTorch, Scikit-learn, Heroku, Databases

Junior Full-stack Developer

2018 - 2019
Markdale Financial Management
  • Helped develop blockchain, from creating trade bots to performing full-stack development on a content management system using HTML, CSS, JavaScript, and Node.js with Ubuntu Server.
  • Integrated features like analytics of crypto trends and features for depositing, withdrawing, and transferring cryptocurrency.
  • Created DevOps scripts to automate setting up the MySQL database and Nginx configurations.
Technologies: Node.js, DigitalOcean, MySQL, JavaScript, Firebase, Databases, Web Development

Hospital Simulator for Vector Institute
VisualizER is a highly configurable emergency room simulator that can simulate various scenarios. Medical professionals and researchers can use it to determine bottlenecks and areas in the emergency room which would benefit most from added resources. It was built for my client, a machine learning research institution, Vector Institute.

• Developed an optimizing algorithm to detect bottlenecks in Python and data analytics.
• Designed and developed simulation visualizations on the front end.
• Built rolling deployment infrastructure with Docker and Amazon ECS.

Highly Customizable Banking Chatbot
My client, the Toronto Dominion Bank, wanted to investigate the effects of a chatbot's humanization levels when interacting with a customer.

I designed, implemented, and tested both the mobile app and the developer interface. The mobile application is easily extensible and can respond with text, images, and graphs. To maximize the usability of the chatbot, it is portable to iOS and Android. The TD team will be able to create their own rules and recognizable intents to customize the chatbot's behavior and test its performance. The design team provided sample chatbot prototypes and documentation to make the product easier to use.

Foodhub serves as a reminder for expiring food in your fridge by using OCR technology to scan your receipts. It also provides consumer behavioral analytics to businesses and supermarkets.

I led the development of the mobile app using React Native and the deployment of our back-end microservice into Google Cloud.
2017 - 2021

Bachelor of Science (Honours) Degree in Computer Science

University of Toronto - Toronto, Canada


React, Node.js, REST APIs, Stripe, Instagram API, PyTorch, Scikit-learn


Cron, Jenkins, SonarQube, Amazon Elastic Container Service (Amazon ECS),, GitHub


Express.js, Material UI, Flask, React Native, Django


Python, JavaScript, CSS, HTML, SQL, HTML5, Java, C, Bash, TypeScript


MySQL, JSON, Databases, Cloud Firestore, MongoDB, Firebase Realtime Database, PostgreSQL


UI Design


DigitalOcean, Apache Kafka, Docker, AWS Lambda, Firebase, Google Cloud Platform (GCP), Heroku, Amazon Web Services (AWS)


APIs, CSV, Web Development, API Integration, Back-end Development, Full-stack, Full-stack Development, Web Scraping, Software Development, Computer Science, Machine Learning, Artificial Intelligence (AI), Progressive Web Applications (PWA), OCR, Front-end Development, Web Security, User Experience (UX), User Interface (UI), Front-end, Data Visualization, Architecture, Front-end Architecture, OpenAI

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