Experiences

DevOps Engineer II at Scotiabank

• Toronto, Canada, Apr. 2026 - present

• Designed and operated scalable cloud and on-prem infrastructure supporting enterprise data platforms with 100+ integrated systems.

• Built and maintained CI/CD pipelines and Infrastructure-as-Code using Terraform and Ansible, improving deployment consistency and efficiency.

• Managed Kubernetes (GKE) clusters and containerized workloads (Docker, Helm) across development and production environments.

• Implemented observability using Prometheus, Grafana, and ELK, enabling SLI/SLO-driven monitoring and proactive incident response.

• Collaborated with data engineering teams to support large-scale data ingestion, processing, and platform reliability.

Cloud Engineer at Bell Media

• Toronto, Canada, Oct. 2021 - Jul. 2025

• 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: ICC’25, GLOBECOM’23

• Technical Program Reviewer: NeurIPS, ICC, GLOBECOM, WCNC, VTC, DySPAN

• Journal Reviewer: TMC, TWC, TCOM, TCCN, TNSE, TNSM, OJ-COMS, COMML, WCM, IOTM, M-COMSTD, M-Network.