As a Data Science Software Developer, I was involved in both development and research work, working with different teams in an Agile manner. I was mostly tasked with developing internal software to accelerate data collection and processing, testing and implementing machine learning models, and software testing. I was occasionally tasked with training machine learning models as well.
Nuralogix is a start-up founded in Toronto in 2015 with the purpose of changing the landscape of personal health monitoring. It is based on research that utilizes computer vision and machine learning techniques to predict various health parameters (such as heart rate, breathing patterns, and blood pressure) from a video of a person’s face. This enables health monitoring with merely a smartphone or a camera, without any specialized devices. The company has developed cloud and mobile platforms, including the Anura app and the DeepAffex cloud service, to turn theory into practice. Nuralogix has been rapidly growing its company and customer base. I had a wonderful experience working here for my PEY term. Being a part of the Data Team, I participated in multiple unique projects throughout the company, working with teams coming from interdisciplinary backgrounds. These projects encompassed many technical areas, ranging from software testing to data gathering and processing to full-stack software development and machine learning. From completing these projects, I gained various technical and non-technical skills that would significantly help me in a high-technology workplace. As a student coming from a machine intelligence background, this PEY term really opened my eyes to the industry of applied data science and machine learning, and kickstarted my career in machine learning and artificial intelligence. Being in a workplace also taught me a lot about self-awareness and professionalism as an engineer that I would not have learned in school. Furthermore, being in a start-up environment also gave me valuable lessons about entrepreneurship and decision-making at a corporate level, as it gave me the opportunity to observe and experience everything up-close.