April Li
Fullstack Engineer
A developer with a robust command of building scalable and user-friendly web applications, enriched by extensive experience in the PropTech and HealthTech industries.
Mastery of modern web development technologies, dedicated to shaping intuitive and high-performing digital experiences.
Seamlessly connecting design and development to bring visions to life.
Work Experience
Fullstack Engineer
myAbode (Previously Property.ca)
Led the UI/UX development for three high-traffic websites, each serving over 1M registered users and generating 2.1M+ user sessions per month.
Consistently improved the Google SEO score and ranking, positioning condos.ca as the top-ranked proptech site. Achieved a 20% increase in loading speed and a 50% reduction in third-party API costs by revamping two main pages. Additionally, improved Google SEO score by 20 points by optimizing layout shifts and first paint load times.
Increased organic leads through SEO keyword optimization and enhanced user engagement by 10% by developing a unique school zone filter and alert feature, giving the site a competitive edge.
Designed and implemented an interactive map draw feature, enabling users to create custom polygons/shapes using the React Map GL Draw library.
Resolved significant technical debt by upgrading key libraries, including Instant Search (Algolia), Mapbox, and React-router, through rewriting critical and complex components.
Integrated third-party APIs to display location demographics and market data through dynamic visualizations using React Charts.
Ensured seamless user experiences across desktop, mobile, and app interfaces by maintaining cross-platform responsive design.
Implemented reCAPTCHA to prevent fraud and bots attacking the website
Medical Informatics Engineer
Artificial Intelligence in Medicine
Built and designed the application by analyzing competitor products to enhance trial matching accuracy and feature set completeness.
Developed and maintained the biomarker and keyword databases, as well as NLP features for the matching model.
Improved matching accuracy by segmenting and vectorizing keywords associated with cancer diagnoses from patient reports and clinical trials using CLIPs.
Executed tasks within an agile development framework, participating in daily stand-ups, biweekly sprint planning, and retrospectives