Resume (Unabridged)
Education
University of Waterloo
Bachelor of Science in Biomedical Engineering with Distinction
September 2025 – May 2025
- Recipient of the University of Waterloo President’s Scholarship, Honours Co-op
- Coursework: Digital Computation, Data Structures and Algorithms, Simulating Neurobiological Systems, Computational Neuroscience, Digital Systems, Systems and Signals, Nanomedicine and Nanobiotechnology, Microfluidic and Nanobiotechnological Systems
Experience
Founding Engineer
Quip Medical
September 2025 –
Remote
- Migrated from Python to TypeScript, tripling the number of supported platforms via Node.js, React, and Vite on Electron
- Architected bespoke automation workflows to increase EMR coverage by 100% from end-to-end using low-level automation and computer vision libraries, increasing prospective user base by 15.09%
- Greatly increased automation speed using computer vision techniques by implementing native resolution template matching, resulting in an ~80% decrease in template matching time (~1000 ms to ~200 ms per match)
- Integrated Sentry Traces, Logs, and Errors, producing a comprehensive suite of quantitative, actionable data, as well as Sentry User Feedback, significantly improving UX R&D iteration timelines
- Implemented auto-updating using AWS S3 and CloudFront, saving significant time by eliminating asynchronous manual user outreach
- Orchestrated all frontend development during 4 month long QI study featuring >60 physicians
Full Stack Software Engineer
Expertise.ai (formerly Chatsimple)
May 2024 – August 2024
Waterloo, ON
- Increased userbase by 18.2% by engineering livechat for widget, allowing users to manually take over from their chatbots mid-conversation with visitors using AWS Lambda functions, AWS API Gateway, and RDS databases
- Improved Facebook integration stability by 5% to persist user Facebook page connections to chatbots using FB API
- Facilitated 58% MRR increase by implementing new chatbot configurations, visitor geolocation data collection, and data visualization, letting users see visitor locations via Python, React, Tailwind, Ant Design, and Framer
Full Stack Software Engineer
Medreddie
January 2024 – April 2024
Waterloo, ON
- Increased active userbase by ~12% by helping build a HealthTech platform that connects medical device procurement teams and suppliers through AI using TypeScript, VueJS, Tailwind, NestJS, TypeORM, Docker, MongoDB, PostgreSQL, Elasticsearch, AWS, and Twilio
- Enhanced visibility of supplier-side metrics by 40% by engineering supplier-side data analytics dashboard via VueJS
- Facilitated cross-browser client accessibility by 100% by migrating historical data programmatically from Google Drive and MongoDB to AWS S3 using Python, Google Cloud, and AWS SDK
- Reduced phishing vulnerabilities by 13.4% by implementing secure email-based 2FA login/sign-up flows using SendGrid, Yup, VeeValidate and NestJS for suppliers
Connected TV Software Engineer
Accedo
September 2022 – December 2022
Toronto, ON
- Increased product coverage to 4 new platforms (iOS, Samsung TV, Apple TV, Roku TV) by implementing a SaaS configuration tool that allowed Accedo’s clients to modify the layout, branding, and content of their applications post-launch via JavaScript, ReactJS, and React Native
- Pushed development of Cogeco’s video streaming platform ‘Epico’ ahead by 5 weeks by streamlining development using internal JavaScript, ReactJS, React Native, and Java libraries
- Localized Epico to 2 new languages using contextual region coding via in-house content management systems
Full Stack Software Engineer
Hypeshot
January 2022 – April 2022
New York, NY
- Developed chrome extension for fantasy sports fans using JavaScript, ReactJS, and React Native to let users bypass sports betting websites by betting directly through match stream providers
- Improved user retention rate by ~5% over 4 weeks by integrating historical data of users’ interaction history with product from DynamoDB into Amplitude’s product analytics service using NodeJS to analyze user retention patterns
- Increased unique user count by ~10% over 3 weeks by implementing dynamic logging of user behaviour and time allotment data via Amplitude SDK
Machine Learning Developer
AltaML
May 2021 – July 2021
Waterloo, ON
- Created a machine learning model using Azure Machine Learning Studio and Twitter API to scrape user sentiment data regarding health products
- Achieved 70% accuracy when validating machine learning models using both training and test data
- Presented insights and recommendations to industry partners at Health Canada based on model result
Projects
Dual-Drug Eluting Contact Lens for Treatment of Idiopathic Anterior Uveitis
September 2024 – April 2025
- Developed an ocular drug delivery system that treats the symptoms of uveitis, which is responsible for 10% of legal blindness cases in the USA and can lead to permanent blindness
- Utilized polymeric contact lenses embedded with drug-laden nanoparticles (<400nm), achieving sustained independent drug release rates for a corticosteroid and cycloplegic
- Optimized encapsulation efficiency via iterative surfactant adjustments, leading to a 40% increase in efficiency (for a total encapsulation efficiency of 60%)
- Engineered the lens to be nontoxic with significant in-vitro human corneal epithelial cell viability (86-100%)
Skills
Development Experience
Python, Flask, Java, C#, C++, JavaScript, TypeScript, ReactJS, React Native, Bootstrap, VueJS, NestJS, Tailwind
Technologies
AWS, Amplitude, Postman, GCP, Microsoft Azure, Azure ML Studio, GitHub, SQLite, DynamoDB, OpenSea API, Zora, Unity, SOLIDWORKS, Adobe Photoshop, Adobe Illustrator, Blender, Charles, SourceTree, Docker, PostgreSQL, MatPlotLib
Certificates
Artificial Intelligence Foundations: Thinking Machines (Issued June 2021), Microsoft Certified: Azure Fundamentals (Issued June 2021)