Hello there, my name is Mustafa Muhammad. I'm excited to share my journey and experiences with you. I am proud to have graduated with a first-class standing in computer science, from York University.
Throughout my studies and internships I have gained a solid foundation in web-dev , machine learning , scripting (python & bash), devops and data engineering.
Beyond my academic achievements, I have actively pursued opportunities to apply my knowledge and skills in real-world scenarios. I have had the privilege of participating in internships and work-study positions that have shaped my professional growth. Here are some highlights:
- Data-Science @ Canadian Imperial Bank of Commerce (Toronto, Canada)
• Developed an automated pipeline to scrape public data on medical professionals in Canada using Jenkins. • Refactored machine learning batch models from Jupyter notebooks into python scripts and created data pipelines. • Reduced training time by 90% for clustered time series models by rewriting code as functions that run in parallel.
• Implemented Dagster partitioned jobs to run data cleaning and collection services at daily scheduled intervals. • Developed P.O.C. interface to query the BACnet API and tag device object using Ontologies such as Brick, RE-Core and Haystack. • Implemented MQTT endpoints using the mosquitto broker to ingest data coming from vision sensors. • Developed bash scripts and dockerized the team codebase reduce use of virtual machines for local development.
• Redeveloped login flow for the Bazaar android app in Java with 2 F.A. via OTP. • Developed web api’s using spring boot (Java) to fetch product details and create orders. • Designed a bot to query our MySQL database for KPI’s and post on a slack channel using AWS lambda.
• Worked under Dr. Joe De Souza since the start of January 2022 - April 2023. • Programmed the EyeLink 1000 eye tracking machine using Matlab and PsychToolBox for lab experiments. • Developed python scripts to monitor fixations, saccades, eye drift and create reports with visuals. • Planned out experiments and helped research students collect eye tracking data from volunteers/subjects. • Migrated lab data to a relational database for easy lookup and retrieval. • Developed video and sound interfaces with MATLAB to track eye movements using EyeLink 1000. • Developed video and sound interfaces with MATLAB to run brain MRI scans.
For my current role I work as a software engineer @ Telus. I am part of the graduate technology leadership program (GTLP). The GTLP program involves three, "nine month rotations" across different teams @ Telus
- Consumer Services Policy & Charging @ Telus (Toronto, Canada)
• Collaboratively developed a Test Suite for automated testing of our Session Data Store, ensuring robust performance. • Created a CLI tool for manual UD notifications to Nokia policy controllers, enhancing team processes. • Developed a Test Suite, validating record creation in MZ Radius Servers for data integrity. • Actively explored and demoed job orchestration solutions like Nomad and Dagster for efficient workflow management. • Contributed to evaluating and implementing exporter solutions for collecting metrics on Session Data Store nodes. • Played a key role in deploying Session Data Store services, conducting health checks using the collaborative testing suite. • Explored the use of Consul for service discovery, service mesh, and service registration, compiled findings, and presented to the team.
Below is my friend participating in an eye tracking study that I helped run during the summer of 2022 at the center of vision.
The data that gets collected can be seen on the computer screen.
A second study (Feb 2022 - April 2023) where video and sound interfaces are run in the MRI to collect brain activity data.
