At Critical Control Energy Services, I facilitate the translation of complex client business needs into technical specifications, acting as the technical lead for a development team delivering system enhancements via Azure DevOps.

• Managed 20+ Product Backlog Items (PBIs) per sprint within Azure DevOps, aligning developer workflows with system architecture requirements.
• Led a 4-person development team, defining clear acceptance criteria and achieving a 20% reduction in rework during the User Acceptance Testing (UAT) phase.
• Built and deployed a Claude LLM pipeline triggered via FrontApp webhooks to automate client email triage across 5 ProTrend database change categories, cutting manual processing time by ~70% across ~80 monthly requests.
• Automated validation checks using VBA for Electronic Flow Measurement (EFM) and liquid calibration reports, ensuring AER/Directive 017 compliance and reducing manual audit time by 25%.
• Engineered automated Python/SQL scripts to extract and transform measurement data from external vendors (Cenozon, CEG, CFI) into proprietary ProTrend schemas, automating ingestion of 15,000+ monthly data points.

As a Data Engineer on the Heavy Oil Data Platform (HODP) team, I designed and maintained data pipelines and CI/CD infrastructure supporting autonomous operations and pipeline integrity analytics across three assets: Kearl, Cold Lake, and Norman Wells.

• Maintained 10+ CI/CD pipelines across 3 environments using GitHub Actions and implemented Terraform for automated infrastructure provisioning, reducing release errors by 18%.
• Optimized Spark jobs and Databricks compute clusters to cut data ingestion times by 20% for site-critical mobile applications (FieldHub, MaintenanceHub) used by 2000+ field technicians.

Caterpillar's Autonomous Haulage System (AHS) trucks operate in large fleets at the Kearl oil sands asset. A core part of my role was handling the real-time telemetry data streaming needs for these vehicles — ingesting Minestar sensor data via Azure IoT Hub and MQTT into Delta Lake tables, enabling a 0.5 km/h increase in average truck speed and $11M in operational savings.

At the Cold Lake asset, autonomous systems including the Boston Dynamics Spot robot dog and unmanned aerial drones are deployed for site inspection and monitoring. HODP supports the data infrastructure that enables these assets to operate — processing sensor feeds and surfacing inspection data across the platform.

Kearl site technicians demonstrating how Ultrasonic Testing (UT) scanners take wall thickness readings on pipe spools. I built an Azure Data Factory pipeline to automate ingestion and validation of these UT scan files for Large Diameter Piping, increasing data availability by 32% and reducing manual processing by 20+ hours/week. I also collaborated with data science teams to build a predictive analytics tool forecasting wear on critical spools and suggesting degrees of rotation to maximize spool life, enabling $13M in cost avoidance via proactive inspection planning.

The Schulich Space Rover Team originated in September 2019 with the goal of building a Mars Rover for the Canadian International Rover Challenge. During my time on the team, we finished 5th place overall and 3rd place for Canadian teams at the 2022 competition.

As an interface engineer on the software sub-team, my key contributions included:

• Created an intuitive base station interface using React.js enabling the pilot to monitor and control the rover and view real-time camera output.
• Implemented autonomous navigation algorithms using ROS and C++ for waypoint mapping, resulting in a 15% increase in movement efficiency.
• Integrated sensor data using wrapper objects to translate raw data into actionable information like coordinates and spatial position, significantly reducing response time.
• Developed real-time object tracking using computer vision and MATLAB, improving obstacle detection by 40%.

Code Ninjas is a place where youth of all ages learn computer science, engineering, and electronics. As an instructor I was responsible for:

• Taught a curriculum from beginner CS fundamentals to software development in JavaScript and C# through classes, assessments, and collaborative challenges.
• Assisted students with their own coding projects, resulting in over 30 successful student projects.
• Delivered instruction to groups of up to 20 students using interactive and hands-on teaching methods.
• Created and delivered workshops in advanced concepts such as game development, web development, and 3D modelling.

During this 16-month internship at TC Energy, I worked on the Operational Support/Field Data & GIS Team leading a group of interns validating defect reports for in-service pipelines.

• Used SQL and Python to build tools predicting leak likelihood based on pipeline wall thickness, reducing processing errors by 15% and improving excavation effectiveness by 20%.
• Automated data population procedures using VB, Power Automate, and Power Query scripts, reducing manual effort and human error by 25%.
• Applied comprehensive pipe integrity knowledge to QA/QC integrity field reports, significantly improving accuracy of identified pipeline anomalies.

In addition to software responsibilities, I gained hands-on field experience attending pipeline inspections and witnessing the integrity process from start to finish, which greatly assisted in building software to streamline these processes.

I also participated in a full-day welding training session by Lincoln Electric, covering theory and practice of all weld types on pipe (Butt, Fillet, etc.).

This gave me a greater respect for the craftsmanship technicians perform and deepened my understanding of how defects like porosity occur, making me a more well-rounded engineer.

I created a VR basketball game using Unity, C#, and GeoMagic Touch haptic technology to study how force feedback affects shooting accuracy. Through user testing, I explored its implications for sports training, therapy, gaming, and medical simulation.

Led a team of 6 software engineering students to create "Know Pros," a Flask-based web app combining Reddit-style threads with a LinkedIn-esque userbase, fostering certified answers among professionals. Built with Python, HTML/CSS, MySQL; tested with pytest and Selenium IDE.

Led a 3-student team in crafting a rental property management system in Java and SQL, prioritizing user experience. Implemented class-based design for modularity and scalability. Executable JAR file ensured seamless operation.