Download a copy of my resume here.

Education

Ph.D. in Biomedical Engineering / University of Toronto
September 2020 - August 2025 (Expected)

B.Eng. in Biomedical Engineering, Co-Op / University of Guelph
September 2015 - June 2020


Experience

Data Scientist / Delfina Care Inc.
July 2021 - Present • Remote

  • Improving health outcomes for mothers and babies through delivering data-driven insights with dashboards, developing ML models for early risk assessments, and building robust data pipelines.

    Technologies: SQL, Python, Docker, Dagster, GCP, Git

Doctoral Researcher / KITE Research Institute
September 2020 - Present • Toronto, ON

  • My PhD research focuses on leveraging data science to improve outpatient therapy for stroke and spinal cord injury patients. I’m developing a system that uses wearable cameras, computer vision, and deep learning to provide clinicians with insights into patients’ real-life hand use at home.
  • This project involves: working closely with healthcare professionals to intimately understand domain-specific challenges, designing a dashboard that transforms complex data into actionable insights for clinicians, and piloting the system with real clinicians and patients to assess its impact on decision-making and intervention planning.

    Technologies: Python, JavaScript, React, Firebase, Git

Co-founder and CTO / Maya Health
November 2023 - February 2024 • Remote

  • Worked with Shivam to bring automated medical coding to mid-size clinics in the US. Had some traction with investors but ultimately ended up abandoning this idea due to a combination of what we heard from potential users and our other time commitments. You can read a blog post we wrote about our learnings here: Maya Post Mortem!

    Technologies: Figma, Python, LLMs

Chief Design Officer / Hikma Health
April 2018 - June 2022 • Remote

  • Led product design for an EHR system deployed in 5+ countries and serving 100K+ patients.
  • Managed 3 designers through UX research, design system implementation, and UI design processes.
  • We published our design process and learnings here.

    Technologies: Figma

Software Engineer Intern / Digital Kitchener Innovation Lab
September 2019 - December 2019 • Kitchener, ON

  • Developed a reporting dashboard in Angular that integrated IoT sensor data from AWS to enable real-time soil quality management across the city and support data-driven decision-making for urban planning initiatives.

    Technologies: TypeScript, Angular, GraphQL, AWS, Git

Software Engineer Intern, Machine Learning / Publicis Sapient
June 2019 - August 2019 • Toronto, ON

  • Developed the API for and deployed a machine learning microservice to identify errors in streaming financial trade reporting to Kubernetes, reducing processing time by 99.6% per request at scale.

    Technologies: Python, Flask, JavaScript, GCP, Git

Research Associate / Massachusetts General Hospital
January 2018 - August 2018 • Boston, MA

  • Explored machine learning paradigms for seizure detection and prediction in a rodent model of focal epilepsy.
  • Developed a MATLAB GUI to identify seizure-like events from EEG and EMG using biosignal processing.

    Technologies: Python, MATLAB