Experience

Neuromatch

• United States
• Non-profit Organizations
• 1 - 100 Employee

• Full Stack Developer

  • Feb 2023 - Present

  Toronto, Ontario, Canada Acting as the go-to tech guy for everything from systems admin, to data management, to frontend/backend development, to domain/network management and product development. Leading a team of volunteers.



Self-employed

• Digital Wizard

  • Aug 2021 - Present

  Toronto, Ontario, Canada



Robinson Show Services Inc.

• Canada
• Events Services
• 1 - 100 Employee

• Digital Consultant

  • May 2022 - Dec 2022

  Toronto, Ontario, Canada



The McQuaig Institute

• Canada
• Staffing and Recruiting
• 1 - 100 Employee

• Contract Data Scientist

  • Aug 2021 - Jan 2022

  Toronto, Ontario, Canada Conducted a review of their personality profiling product; visualized distributions of product usage data using normalized histograms, performed Principle Component Analysis and k-means clustering (The Elbow Method, Silhouette Analysis and Gap Statistics) to assess and visualize profile types in reduced dimensional space, provided insights based on observed patterns and suggested improvements to their product.



Charité - Universitätsmedizin Berlin

• Germany
• Hospitals and Health Care
• 700 & Above Employee

• Student Researcher

  • Feb 2020 - Feb 2021

  Germany Performed analysis of psychiatric data using Random Forests and Feature Importance (Gini importance and SHAP values); enabling health care professionals to predict the efficacy of deep brain stimulation treatment, used to treat patients with severe Parkinson's disease, and providing them with metrics to consider the contribution of input variables to each prediction, improving model interpretability. Taught an intro to Machine Learning course offered to Charité staff as well as conducted… Show more Performed analysis of psychiatric data using Random Forests and Feature Importance (Gini importance and SHAP values); enabling health care professionals to predict the efficacy of deep brain stimulation treatment, used to treat patients with severe Parkinson's disease, and providing them with metrics to consider the contribution of input variables to each prediction, improving model interpretability. Taught an intro to Machine Learning course offered to Charité staff as well as conducted research into the effects of noise on classification of MRIs. Show less



Techna Institute

• Associate Tech Analyst

  • May 2018 - May 2019

  Toronto, Canada Area Created gesture recognition software in Python with the aim of developing a non-contact human computer interface, saving surgeons time by allowing them to review scans without having to unscrub. Responsible for the design, development and application of a pipeline that incorporated machine learning models for collected training, validation, and test sets for different hand gestures. Random Forests, Multi-layer Perceptrons, Support Vector Machines and other algorithms were implemented in an… Show more Created gesture recognition software in Python with the aim of developing a non-contact human computer interface, saving surgeons time by allowing them to review scans without having to unscrub. Responsible for the design, development and application of a pipeline that incorporated machine learning models for collected training, validation, and test sets for different hand gestures. Random Forests, Multi-layer Perceptrons, Support Vector Machines and other algorithms were implemented in an ensemble model to improve the accuracy (to 99.5%) and generalization of the previously existing hard coded gesture recognition software. Show less



BrokerBay

• Canada
• Software Development
• 1 - 100 Employee

• Javascript Developer

  • Apr 2018 - May 2018

  Toronto, Canada Area Fixed application issues flagged by users and developers; fixed a soft delete bug, removed the ability to re-open past appointments, added color coded buttons improving the user interface, etc.