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