Conducted research to optimize log analysis of large scale log data from various software systems by establishing a pipeline to generate ground truths for template based log parsing.Saved 10+ hours weekly by developing Python scripts to analyze over 2 million log entries and templates from 12 different software systems, streamlining data collection for the study.Created and managed a user study for 20 participants to identify and analyze discrepancies between automatically generated log templates and user perceptions, leading to improved log parsing techniques.

Leveraged React, ASP.NET Core, and a MySQL database to enhance realtor efficiency with an end-to-enddata-driven web app, collecting, processing and visualizing real-time housing market data from over 2.5 million listings across diverse Canadian regions.Empowered data-informed decision-making and provided clients with up-to-the-minute market insightsthrough user-friendly data visualization components, including charts and tables.Designed and implemented RESTful APIs to facilitate seamless communication between front-end andback-end systems, enabling efficient data retrieval and enhancing user experience. Significantly optimized data retrieval, manipulation, and analysis, resulting in a notable reduction in processing times by 95% through utilizing parallel processing and asynchronous programming techniques within data processing APIs.

Collaborated with IPRAN teams and site technicians to test fiber optic transport links (Gige, 10Gige, 100Gige) and DS0 to OC198 with RFC 2544 and BERT tests.Oversaw the health of DC power systems, batteries, backup generators, and HVAC cooling systems with 4 team members.Created and authored a comprehensive document outlining the procedure of an RFC 2544 test for future employees and co-op students.Troubleshot networking technology issues with contractors