AI Developer

• Jan 2023 - Present

Machine Learning Engineer

• Apr 2022 - Aug 2022

Machine Learning Fellow

• May 2022 - Jun 2022

Selected amongst over 300 applicants across Canada to participate in a Machine Learning guided program with an ultimate goal of applying Artificial Intelligence for Social Good. The program included intensive teachings on the multifaceted branches of ML and included components of professional growth, industry nights and mentorship from the Labs partners and sponsors, which include industry pioneers such as CIFAR, Amii, Osmo, DeepMind, Google, IBM, RBC, and more. Selected amongst over 300 applicants across Canada to participate in a Machine Learning guided program with an ultimate goal of applying Artificial Intelligence for Social Good. The program included intensive teachings on the multifaceted branches of ML and included components of professional growth, industry nights and mentorship from the Labs partners and sponsors, which include industry pioneers such as CIFAR, Amii, Osmo, DeepMind, Google, IBM, RBC, and more.

Professional Development Trainee

• Apr 2022 - Jun 2022

Selected into the A-23 Training Cohort- a by-interview work-integrated learning program- that addresses the gap between employer needs and graduate skills through intensive training.ADaPT provides training in digital skills, communications, research, business financials, networking, and much more. Selected into the A-23 Training Cohort- a by-interview work-integrated learning program- that addresses the gap between employer needs and graduate skills through intensive training.ADaPT provides training in digital skills, communications, research, business financials, networking, and much more.

Graduate Research Assistant in Computer Engineering

• Jan 2019 - Aug 2021

Designing a Cased Based Reasoning Decision Support System for offshore Ice Management Operations Using Expert Knowledge:Prevention of safety hazards plays an important role in the offshore and maritime industries,especially in offshore ice management operations as the safety of these operations depends on thejudgment and decision making of experienced captains and their bridge teams. To address safetychallenges that may arise in the context of ice management operations, my thesis focused on ahuman-centered approach to develop an early-stage decision support system (DSS) for offshoreice management operations by applying a case-based reasoning (CBR) method. The aim of thisresearch was to (i) capture knowledge from expert seafarers to be used in the development of a DSS;and (ii) propose a DSS employing a CBR model to be used onboard ships on a real-time basis forice management operations.

Teaching Assistant

• May 2019 - Apr 2020

Machine Learning (Code 90766)Image Processing and Applications (Code 87076)Industrial Machine Vision (Code 88403)

Junior Software Engineer

• Nov 2015 - Nov 2018

Engineer Intern

• Jun 2013 - Sep 2013