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Alex Wang
Verified Expert in Engineering
Back-end Developer
Alex is a developer with 6+ years of experience in Python, JavaScript, SQL, and R. She enjoys working in both startup and corporate environments and has worked on all stages of the machine learning project lifecycle (research, data processing, model development, testing, and deployment). Passionate about learning new things, Alex has been building web applications through side projects and is looking for projects that allow her to focus on back-end development and API design.
Portfolio
Experience
Availability
Preferred Environment
Slack, Visual Studio Code (VS Code), GitHub, Postman, MySQL Workbench, MongoDB Atlas
The most amazing...
...project I've worked on is a fraud lead generation tool that helped save the company millions of dollars.
Work Experience
Machine Learning Software Engineer
Medchart
- Built a custom-named entity recognition model to detect healthcare facilities and providers in scanned documents.
- Led a team of five annotators to curate labeled datasets needed for machine learning initiatives and set up automated quality control checks.
- Identified a prioritized list of machine learning applications to improve product offerings by meeting with various business teams to understand their needs and surveying state-of-the-art techniques.
Senior Machine Learning Scientist
Sun Life Financial Canada
- Built a text classifier to surface fraud leads from web search data, generating over $2 million in savings.
- Created a document search tool and underlying data ETL process to help identify keyword mentions for marketing opportunities replacing a manual process.
- Prototyped a neural network-based outcome prediction model that accounts for complete patient history, improving accuracy.
Software Developer Intern
Roche
- Supported the development of internal R packages to facilitate and streamline processes for clinical reporting and exploratory data analysis.
- Wrote classes to create labels and data filters on graphs and tables, complete with unit tests and documentation.
- Implemented a structured, easy-to-debug approach to turn static code into dynamic code within Shiny modules while returning the reproducible offline code and writing the accompanying tutorial.
Experience
Application Tracker App
The back-end components were written in JavaScript with TypeScript, while the front end was written with React and TypeScript. I used Jest for testing and PostgreSQL for data storage.
Articles Archiving Tool
Pyopendatato Python Package
It was written in Python 3, with automated tests using Travis CI and automated code coverage generated using Codecov.
Skills
Languages
Python, R, SQL, JavaScript, TypeScript, Java
Other
Machine Learning, Data Visualization, Experimental Design, A/B Testing, Deep Learning, Transformers, Natural Language Processing (NLP), fastText, GPT, Generative Pre-trained Transformers (GPT), Computational Inference, Bayesian Statistics, CI/CD Pipelines, Salesforce Apex, Salesforce Lightning
Frameworks
Flask, Express.js, Redux, RStudio Shiny, Jest
Libraries/APIs
Node.js, PyTorch, TensorFlow, Bing API, PySpark, Google Sheets API, React
Tools
GitHub, Git, Postman, Apache Airflow, MySQL Workbench, MongoDB Atlas, Pytest, Travis CI, Codecov
Platforms
Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Docker, Visual Studio Code (VS Code)
Storage
MongoDB, PostgreSQL, MySQL, Elasticsearch
Education
Master of Mathematics in Statistics
University of Waterloo - Waterloo, ON, Canada
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