Leveraged knowledge communication theory to test Ericsson's Indoor Radio Dot System, leading to the shipments of two new products to customers
Configured lab environments to simulate real-world conditions for product testing
Used tools such as JIRA to report bugs found during testing
Led debug sessions with the software team, playing a critical role in identifying potential solutions to complex issues, which resulted in quicker problem resolution
Verified bug fixes by testing new software loads, ensuring the reliability and quality of software updates
Collaborated closely with cross-functional teams to integrate new features, improving overall project efficiency and team cohesion
Performed regression testing on legacy products, ensuring robustness and compatibility with updated software versions and configurations, maintaining high standards of quality assurance throughout the process
Assisted engineering teams in debugging unfamiliar features, providing effective technical support that accelerated development processes and improved team productivity
Network Engineering Intern
Ericsson
05.2022 - 08.2022
Updated Excel files containing information on 5G sites in Los Angeles
Used software such as Actix to get plots of LTE and 5G sites for optimization purposes
Utilized problem-solving skills to review and resolve discrepancies between plots and expected data
Reviewed reports to ensure compliance with company standards
Education
Bachelor of Engineering - Computer Systems
Carleton University
Ottawa, Ontario
04.2025
Skills
Python
Java
C
MATLAB
Linux
Git
Flask
Junit
JIRA
Verilog
Projects
Developing autonomous robot FreeRTOS for real-time task scheduling, enabling efficient motor control and sensor data processing (IMU, ultrasonic, and line detection) to achieve accurate obstacle avoidance and path tracking.
Designing and implementing modular software architecture for Arduino Nano and Due, using inter-processor communication through shared queues to ensure smooth data flow and decision-making between motor control and sensor processing units.
Implemented a multi-level testing strategy encompassing unit tests for individual sensors and integration tests, ensuring system reliability
Developing sensor integration and data processing algorithms for obstacle avoidance and line tracking, optimizing the robot's navigation in complex environments