Experiences
Cloud Engineer at Bell Media
Toronto, Canada, Oct. 2021 - present
Strengthened CI/CD pipeline stability by integrating GitLab and Jenkins, improving infrastructure performance.
Led the Lighthouse project with Ansible, enhancing system reliability and visibility across teams.
Contributed to the CRNA DNS project with Terraform, ensuring robust and secure connectivity.
Migrated Satellite systems to Bell’s Centralized Satellite platform, boosting scalability and efficiency.
Transitioned GitLab runners to AWS shared runners and maintained Jenkins pipelines for the Mobile App team, improving build efficiency by 27%.
Machine Learning Researcher at York University
Toronto, Canada, Mar. 2021 - present
Developed a reinforcement learning framework to optimize autonomous driving and network policies, enhancing decision-making efficiency.
Designed a quantum-enhanced user association model for handoff-aware vehicular networks, applicable to both autonomous vehicles and drones.
Created a simulation environment to integrate multi-agent communication and autonomous driving policies, fostering robust collaboration.
Modeled vehicle-to-infrastructure (V2I) networks to maximize data rates while minimizing collisions and communication disruptions.
Software Developer Intern at Bell Canada
Toronto, Canada, May 2021 - Aug. 2021
Utilized machine learning and deep learning techniques on AWS to analyze customer data, uncovering trends and improving marketing strategies.
Designed and implemented predictive models for customer churn and lifetime value, driving data-informed decision-making.
Professional Activities
Conference Session Chair: GLOBECOM’23
Technical Program Reviewer: ICC, GLOBECOM, WCNC, VTC, DySPAN
Journal Reviewer: TMC, TWC, TCOM, TCCN, OJ-COMS, COMML, IOTM
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