Experience

Network Specialist

Bell Canada — Ottawa, ON

Jan 2023 – June 2023

Configured and validated modem parameters via SSH using the TR-181 (TR-069) data model for wired and wireless regression testing.
Worked hands-on with DHCP (DORA), ARP, IGMP multicast joins, 802.11 beacon frames, EAPOL and QoS DSCP mapping.
Performed Wi-Fi interference and bandwidth testing across 2.4, 5 and 6 GHz to confirm IPTV service quality under heavy traffic.
Carried out Wireshark and tcpdump packet analysis on modem LAN/WAN interfaces, and collected OTA captures to isolate root causes.
Scripted a country-wide check in Bash to identify and remediate a set-top box defect with a suitable replacement solution.
Configured L2/L3 switch port mirroring for live traffic capture, and managed IT asset inventory and end-user hardware support.

Technical Support Assistant (Testing)

Taxtron Inc — Toronto, ON

Sept 2023 – Dec 2023

Built and ran Python automated test scripts inside existing automation infrastructure to improve testing efficiency and reliability.
Designed test plans and cases in an Agile setting across black-box/white-box, unit (Java, IntelliJ), regression and manual execution.
Set up environments replicating real-world network conditions to validate behaviour under load, stress and KPI performance scenarios.
Used Ixia and command-line tooling for traffic generation and performance testing across distributed systems.
Applied machine learning workflows end to end: preprocessing, feature engineering, training, evaluation and tuning.
Maintained detailed technical documentation for hardware setups and software configurations used in testing cycles.

Applied projects

AI-Native Radio Resource Management for 6G Networks

Reinforcement-learning framework optimizing spectrum allocation, power control and user scheduling in dynamic wireless environments, evaluated in NS-3 with gains in spectral efficiency, latency and QoS.

O-RAN Intelligent Control using Near-RT RIC

AI-assisted xApp for the near-real-time RIC, integrating RAN telemetry with models for traffic prediction and anomaly detection to demonstrate closed-loop policy enforcement and improved stability under load.

Edge-Intelligent IoT over 5G with Network Slicing

5G IoT system with edge intelligence and SDN-based slicing using MQTT, OpenFlow and Mininet, evaluated on end-to-end latency, reliability and resource utilization for heterogeneous workloads.