0 Projects complete
A student of Engineering Science (MI Option) at the University of Toronto. Passionate about web technologies.
0 Projects complete
Currently in my final year of studies. Learning about how to become a great engineer, building scalable and effective solutions for the modern world. Taking classes like Data Structures & Algorithms, Vector Calculus, Digital Systems and Machine Intelligence.
Developed skills in project management from scoping and defining a project and coming up with a project plan, all the way to project launch and how to manage a project post-launch. I've since implemented a number of Google best-practice project management techniques in my work and gained valuable experience.
Graduated with the Governor General's award for top performance in my school.
Contract developer working on a new version of the company's Query-It application.
React, Firebase, Google Cloud, Data Science
Applying Machine Learning models to sensor signals in order to classify E-coli and other bacteria in water.
Working to develop a dashboard that displays this data to the consumer.
Machine Learning, Collaborative, Signals, Django, Python, Dashboarding
Research position in wireless signal transmission and WiFi mesh networking technologies.
C, ESP32, Raspberry Pi, WiFi, Networking, Web Design
Developing a custom ERP in the metal fabrication space. Working in top to bottom business process automation including algorithmic quoting and scheduling of work as well as SCM (Supply Chain Management). Also interfacing with existing hardware in the business.
Angular, Ionic, PostgreSQL, Django, Python, ERP
Heading development from application architecture to testing and deployment. Currently in private beta with assisted living facilities. Project currently on hold.
Vue, Firebase, Google Cloud, Health Care, HIPAA
Testing and evaluating the i2e application that the company has been working on. Contributed to some Microsoft SQL queries.
QA, Microsoft SQL Server, C#, Microsoft Excel, Data Science
Created a project using Microsoft Artificial Learning and Node.js for live chord progression prediction in popular pop songs. We took live input from a keyboard, displayed it to the user, and then imposed a recommended "next chord" to create a pop tune.
Reach out to me by email or phone to inquire about any of my expertise. I'm always available to talk
These are projects that I've worked on over time for a combination of clients, personal experience & mentorship opportunities.
Reach out to me about anything from school to tech! You can always reach me at most of my contact points.
Toronto, Ontario, Canada