• Coordinated logistics of rehab and on-going care, managing over 30 cases weekly while safeguarding personal health information. Ensured same-day resolution of contractor and stakeholder inquiries, negotiated pay-rates and service costs, and conducted final QA checks on deliverables before submission to business partners.
• Delivered domain expertise for the implementation of software automation of referrals, uploads, and sending emails. Presented the benefits to company executives, held meetings to discuss new opportunities, and problem solved deployment issues.
• Created monthly reports on Excel for internal and external use with VLOOKUP and WORKDAY formulas.
• Overhauled the travel fee schedule from flat-fee to an hourly and mileage-based structure, which increased gross profit per referral and raised margins to over 100%.

• Offered administrative support in a busy multidisciplinary clinic and applied crisis intervention principals to de-escalate patients who were aggressive or experiencing withdrawal.
• Billed insurance with Telus Health, organized records, filed, and invoiced OHIP through OscarEMR.
• Optimized procurement, reducing operational costs via itemized lists, stock tracking, and cheaper alternatives.

Drafted functional requirements to inform development, creating a symptom tracking application with a Node.js and Express.js backend and HTML, CSS, Javascript frontend for a responsive user interface.
Implemented secure user authentication with JWT tokens including registration and login, hashed password storage, and rate limiting, ensuring compliance with RESTful API standards and data security.
Designed a scalable database architecture using PostgreSQL and Sequelize ORM, supporting automated migrations and multi-environment deployments.
Integrated Leaflet.js to visualize symptom data from the last 24 hours on a map, and provided a breakdown of total reports and trending symptoms in their local area, allowing users to analyze health patterns by location and time.

Conceptualized an AI-platform for Kijiji by developing a go-to-market strategy, performing market research, and designing a UI/UX in Figma with the target of reclaiming lapsed users by implementing user verification, machine learning spam algorithms, and NLP-driven search.
Leveraged Design Thinking through user pain points and personas, informing the product vision, roadmap, and AI-driven features that project a 25% increase in daily active users upon launch.
Authored detailed product requirement documentation (PRD), encompassing problem statements, functional requirements, KPIs, and measures of success.

Created a Digital Twin for predicting sleep quality by training a KNN-based machine learning model with PyCaret, using activity levels, daily steps, and resting heart rate data from a single individual’s wearable device.
Implemented an interactive UI with sliders using Gradio, increasing ease of use for predictive analytics, and enhancing accessibility.
Hosted the model online and deployed an educational companion webpage with Netlify allowing users to explore relationships between input variables and sleep quality while receiving actionable text-based insights.