• Built financial models using statistical learning methods (multivariate regression, risk analysis, and PCA) to reduce fire risk for electric utilities, supporting 3+ clients across North America• Developed and implemented ETL and NLP tools to automate data processes, including n-grams, Levenshtein distance, and dataset comparison tools• Analyzed client business needs and defined asset modeling requirements, such as degradation, risk, cost, and decision-making policies, to drive scenario analysis• Consolidated and processed large datasets from clients (1,000,000+ individual assets), enhancing decision-making model development and ensuring data accuracy

• Co-founded a company specializing in the design, development, and publishing of tabletop games, overseeing all creative and operational aspects• Led game design and development, with the flagship game selected as a Finalist in the Créazone Design Competition at the Salon du Jeu et du Jouet du Québec• Conducted over 250+ playtesting sessions to ensure quality assurance and optimize game mechanics, enhancing player experience and engagement• Managed business development initiatives, including website development, marketing strategies, and industry networking.

Cosmology and Machine Learning (Aug 2022 - Sept 2023)Topic : Leveraging symmetry of in-painting methods emerging from radio astronomy measurements• Spearheaded the development of a machine learning model utilizing in-painting techniques derived from radio astronomy data, using Keras and TensorFlow• Built a multi-input convolutional neural network (CNN) to account for the daily symmetry in measurements captured by the HERA radio telescope• Implemented custom DSS (deep sets with symmetric elements) layers into a U-Net structure to mitigate radio frequency interferences in HERA measurementsQuantum cryptography (Jan 2022 - May 2022)Topic : Soundness improvement of relativistic zero knowledge protocols• Led the optimization of quantum cryptographic protocols, enhancing the security of monetary transactions and exploring potential real-world applications• Achieved a 33% reduction in the upper bound of soundness error in zero-knowledge protocols, significantly improving their reliability

• Devised a full stack application to monitor customers’ advertising campaigns, managing over 10+ report models using React, TypeScript, and Java within AWS cloud infrastructure• Designed and launched a Backends-for-Frontends (BFF) service, optimizing data extraction, transformation, and loading (ETL) processes from AWS internal APIs via AWS Elastic Container Service (ECS), Docker, and S3• Deployed Continuous Integration and Continuous Development (CI/CD) pipelines using AWS tools, including automated testing, enabling seamless deployments and improving development efficiency in an agile environment

• Developed a web application to support collaborative decision-making processes under the supervision of Professor James Lapalme, utilizing the MERN stack (MongoDB, Express, React, Node.js)• Integrated core functionality, including CRUD operations, user authentication, commenting, and voting features to enhance group collaboration and decision-making• Designed and implemented the application’s user interface and user experience (UI/UX) following Material Design principles

• Developed a data cleansing application in Java and Talend to parse, update and optimize customer databases• Led the software migration to support ETL processes, ensuring smooth data integration and enhancing system performance• Conducted a capstone study on the impact of artificial intelligence in healthcare environments, exploring its potential applications and challenges