● Led the development of a mobile application for food allergen identification using computer vision.● Designed and implemented a real-time vision system for food allergen identification using computer vision● Responsible for the entire ML pipeline, including model training, validation, optimization and deployment.● Developed several computer vision models that improved food allergen detection accuracy by as much as 23% over commercial solutions, using data from the Canadian… Show more ● Led the development of a mobile application for food allergen identification using computer vision.● Designed and implemented a real-time vision system for food allergen identification using computer vision● Responsible for the entire ML pipeline, including model training, validation, optimization and deployment.● Developed several computer vision models that improved food allergen detection accuracy by as much as 23% over commercial solutions, using data from the Canadian grocery market.● Implemented standardized development processes, resulting in a 26% increase in product development velocity. Show less

● The data science group from Resilience Corporate Services was absorbed by Trade X which led to my transition to the company as a full-time employee in May 2022● Primary role involved the adoption and development of machine learning methodologies into Trade X’s business practices and products along with a group of seven machine learning engineers and data scientists for which I was the Lead Machine Learning Engineer● Heavily involved in the design of a full machine learning pipeline… Show more ● The data science group from Resilience Corporate Services was absorbed by Trade X which led to my transition to the company as a full-time employee in May 2022● Primary role involved the adoption and development of machine learning methodologies into Trade X’s business practices and products along with a group of seven machine learning engineers and data scientists for which I was the Lead Machine Learning Engineer● Heavily involved in the design of a full machine learning pipeline from the ground up to create a ML system that predicts vehicle valuations on new and used cars in several global markets● In conjunction with vehicle valuations, I was also responsible for the creation of a vehicle arbitrage engine that would use ML techniques to identify buying and selling opportunities of vehicles across different countries● Regularly engaged with the Product Development team and other project stakeholders to gather requirements and feedback and would frequently provide demonstrations and discussions at the end of biweekly sprints to all engineering and development teams ● Regularly collaborated with fellow team members on developing and improving ML models and provided guidance and mentoring to junior data science members Show less

● Prototyping machine learning algorithms on graphs i.e. Node2vec, Random Walks and Graph Convolutional Networks (GCN)● Pattern analysis and dimensionality reduction in the automotive space to auto categorize and group various motor vehicles by vehicle identification numbers and other specifications● Developing a tool to identify shortest path & least cost optimization in a supply chain setting with the goal of identifying arbitrage opportunities ● Design and implementation of a… Show more ● Prototyping machine learning algorithms on graphs i.e. Node2vec, Random Walks and Graph Convolutional Networks (GCN)● Pattern analysis and dimensionality reduction in the automotive space to auto categorize and group various motor vehicles by vehicle identification numbers and other specifications● Developing a tool to identify shortest path & least cost optimization in a supply chain setting with the goal of identifying arbitrage opportunities ● Design and implementation of a Digital Twin graph model Show less

● Application development for automated machine vision inspection systems for moving objects in factory settings● Rapid prototyping of machine vision solutions with emphasis on providing solutions in automotive manufacturing● Evaluating and implementing current research in computer vision and applying it to machine vision problems● Applying semantic segmentation techniques to synthetic aperture radar data to identify bodies of water from satellite images for the purpose of… Show more ● Application development for automated machine vision inspection systems for moving objects in factory settings● Rapid prototyping of machine vision solutions with emphasis on providing solutions in automotive manufacturing● Evaluating and implementing current research in computer vision and applying it to machine vision problems● Applying semantic segmentation techniques to synthetic aperture radar data to identify bodies of water from satellite images for the purpose of identifying changes in water coverage over time● Requirements engineering and project feasibility analysis Show less