As the Prime Lead for the Network Learning Community at TELUS and a member of the GTLP program, I drive the development and delivery of learning sessions focused on networking technologies. Collaborating with industry experts and organizing hands-on workshops, I aim to enhance the technical skills of both new grads and seasoned professionals. My role involves curating resources, facilitating knowledge sharing, and fostering continuous professional growth within the GTLP.

• Developed a testing suite for our Session Data Store API's, to automate pre and post checks during deployments.• Created CLI tooling to automate sending UD notifications to Nokia policy controllers.• Developed a testing suite to validate IPSession (IPv4, IPv6, NAT444, NAT64) record creation (IPS & RTS) by our MediationZone data integration platform.• Explored and demoed job orchestration solutions like Nomad and Dagster to set our lab nodes as a cluster for job scheduling and/or… Show more • Developed a testing suite for our Session Data Store API's, to automate pre and post checks during deployments.• Created CLI tooling to automate sending UD notifications to Nokia policy controllers.• Developed a testing suite to validate IPSession (IPv4, IPv6, NAT444, NAT64) record creation (IPS & RTS) by our MediationZone data integration platform.• Explored and demoed job orchestration solutions like Nomad and Dagster to set our lab nodes as a cluster for job scheduling and/or provisioning.• Created an ansible playbook to deploy HA Proxy exporters to our VMs & scrape Application level API metrics using prometheus to chart visuals in Grafana with alerts.• Explored the use of Consul for service discovery, mesh, and registration, compiled and presented findings.• Designed and implemented the Offnet API to abstract database interactions for authentication requests from TELUS LNS routers (L2TP network servers), facilitating the business workflow for onboarding Telus Fiber subscribers in Ontario and Quebec. Show less

Research Projects Utilizing EyeLink 1000 Eye Tracker:• Investigated reading comprehension differences between paper and computer screens using eye tracking data and the Robinson-Hall Reading Test, uncovering insights into cognitive processing.• Examined learning patterns during a 360-degree movement eye dance through eye tracking analysis, contributing to our understanding of visual learning and coordination.• Developed interactive video and sound interfaces in MATLAB to… Show more Research Projects Utilizing EyeLink 1000 Eye Tracker:• Investigated reading comprehension differences between paper and computer screens using eye tracking data and the Robinson-Hall Reading Test, uncovering insights into cognitive processing.• Examined learning patterns during a 360-degree movement eye dance through eye tracking analysis, contributing to our understanding of visual learning and coordination.• Developed interactive video and sound interfaces in MATLAB to track eye movements using the EyeLink 1000, enhancing research capabilities in real-time visual tracking.• Created video and sound interfaces in MATLAB to operate during brain MRI scans, enabling precise synchronization of visual stimuli with neuroimaging data. Show less

As Part of the Research Team I worked on ...• Occupancy Estimation: Leveraging sensor data and Machine Learning to estimate the number of meeting participants.• Metadata Tagging for Building Automation Systems: Streamlining building data management through advanced tagging techniques.- Key Contributions:• Implemented Dagster partitioned jobs to automate data cleaning and collection services on a daily schedule, improving data processing efficiency.• Normalized… Show more As Part of the Research Team I worked on ...• Occupancy Estimation: Leveraging sensor data and Machine Learning to estimate the number of meeting participants.• Metadata Tagging for Building Automation Systems: Streamlining building data management through advanced tagging techniques.- Key Contributions:• Implemented Dagster partitioned jobs to automate data cleaning and collection services on a daily schedule, improving data processing efficiency.• Normalized database tables to reduce redundancy and created data migration scripts, optimizing data storage and retrieval.• Engineered a dynamic JavaScript UI for collecting and reporting on building site trend-log data, enhancing user interaction with real-time insights.• Developed bash scripts to dockerize the team’s codebase, enabling rapid creation of local test environments and minimizing virtual machine usage for development.• Implemented MQTT endpoints using the Mosquitto broker to ingest real-time data from vision sensors, supporting IoT-based data streams.• Explored and fine-tuned transformer models for custom data training using HuggingFace and PyTorch, improving model accuracy for machine learning tasks.• Set up periodic database backups to ensure disaster recovery, safeguarding project data through automated scheduling. Show less

• Refactored code for 3 of our main batch models from jupyter notebooks into python scripts and created data pipelines.• Developed new and optimized existing web-scrapers to scrape publicly available data on medical professionals in Canada. • Devised shell scripts to schedule run time for batch models using cron. • Created a custom Sphinx docker image to generate custom library documentation, deployed container into a Kubernetes cluster and serving resultant HTML files using… Show more • Refactored code for 3 of our main batch models from jupyter notebooks into python scripts and created data pipelines.• Developed new and optimized existing web-scrapers to scrape publicly available data on medical professionals in Canada. • Devised shell scripts to schedule run time for batch models using cron. • Created a custom Sphinx docker image to generate custom library documentation, deployed container into a Kubernetes cluster and serving resultant HTML files using Nginx.• Built Conda package for internal python library and deployed on our artifactory channel.• Decreased training time by 90% for our ATM cash allocation models by refactoring code to run in parallel using multiprocessing.• Explored and implemented privacy enhancing techniques such as differential privacy, membership inference attack and homomorphic encryption for deep neural networks using Tensorflow and Pytorch in a Vector Institute organized bootcamp.• Analyzed various in and post processing bias mitigation algorithms as part of an AI fairness workstream and implemented decision tree flowcharts and pseudocode for explainability. Show less

• Web scraped York course website for courses and their dependencies using Selenium web-driver.• Handled unstructured data by partial string matching and regex.• Cached scraped results in SQLite database to reduce number of requests and save time.• Created a command line interface with options to load, save, update, delete and add courses.

• Redeveloped login flow for the Bazaar android app with 2 factor authentication via OTP.• Implemented abandoned cart notifications, to notify users if cart is full and no order is placed.• Developed web api’s using spring boot to fetch product details and create orders.• Designed a slack bot to query our MySQL database for key performance indicators and post on our slack channel using AWS lambda.