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Recent projects

Advertising Dashboard UI/UX - Design & Development
Link Clicks is developing a new SaaS platform that compares prices and automates online advertising spending across multiple ad platforms in order to improve return on ad spend (ROAS) for our partners. Currently we are able to launch, manage, and retrieve data for ad campaigns running on Facebook, Instagram, Google, and YouTube. During this early development stage we have opportunities for an intern or team of interns in the following areas: Website UI Design & Development API integration with ad platforms (TikTok, Twitter, Snapchat, & more) - Python Data analysis, analytics, and price comparison algorithm

Data Science Internships
PROJECT DESCRIPTION/DESCRIPTION DU PROJET: Interns will work either collaboratively or independently (both can be accommodated) under the oversight of a senior data scientist. Interns will have the opportunity to hone their skills, learn new skills, and conduct varied tasks depending on their skill sets and interests. Project options include using data to work on AI and machine learning modeling tasks, building up data pipelines, and using python to test and adapt projects. As a Data Science Intern, you will be doing applied machine learning, data analysis, and engineering tasks in collaboration with other team members. Intern must work well both individually and as a team. Experience or interest in health tech, wearables or sensors, and social good projects is helpful but not required. KEY PROJECT ACTIVITIES/TÂCHES ASSOCIÉES AU PROJET: Data Science, including AI, machine learning, and data analysis Participation in various levels of the data science process Modeling, programming, research, and more IDEAL ROLES/RESPONSIBILITIES/RÔLES/RESPONSABILITÉS:* Following through on tasks Having good professional communication skills (or willingness to learn) Being detail-oriented and organized FINAL PROJECT DELIVERABLES/LIVRABLES DU PROJET: These will vary depending on the skill sets and interests of interns. Options include completing data science tasks of various types, leveling up DS skills on real-world problems, completing tickets, researching, coding/programming, data analysis, data visualization, and more. WHAT IS THE MAXIMUM NUMBER OF STUDENTS YOUR PROJECT COULD ACCOMMODATE?/QUEL EST LE NOMBRE MAXIMUM D'ÉTUDIANTS QUE VOTRE PROJET PEUT ACCUEILLIR? 5 students

Programming Projects: Python, Liquid/CSS/HTML, VBA, APIs - Level UP
12 Positions Available We're looking for students with solid experience in one or more of the following technology areas to tackle technology projects on our list of priorities: Python Liquid/CSS/HTML Visual Basic (VBA/ Advanced Excel Formulas/Marcos) Graph QL and/or REST API Integrations You bring solid technical experience and enthusiasm to code business solutions. We'll help you build your portfolio of coding accomplishments to talk about in future interviews. We have a pending list of interesting programing projects that we want done and will match candidates to a subset of the following priority projects.

Adding Liquid Temperature Sensor to Product (Electrical Engineering)
Safi is a nonprofit initiative aimed at providing Kenyan herders with safe to drink milk. We are doing this by providing them with a pasteurization handle that pasteurizes your milk before consuming. The main goal for this project is to add a temperature sensor to the handle, so that it signals (through beep or colour or any suggestion) to a user when the milk has reached a certain temperature and pasteurization is completed. Our one pager can be found here: https://www.safi.world/_files/ugd/dc5ed8_2a5a097d96984942960aca70e6655695.pdf Our website is: https://www.safi.world
Work experience
Systems Software Engineering Intern
Advanced Micro Devices (AMD)
Markham, Ontario, Canada
May 2023 - August 2024
• Received the AMD Intern Spotlight Award for designing a scalable Python automation infrastructure for
post-silicon GPU testing and debug, reducing manual user intervention by 98%
• Developed Ansible, Bash, and PowerShell scripts to streamline SR-IOV virtual machine deployment in Linux
KVM and Microsoft Hyper-V hypervisors, reducing setup times by 80% and improving validation efficiencies
• Improved validation coverage by 15% by isolating root causes of critical GPU failures within a collaborative team,
leveraging data analysis tools to enhance system reliability and performance in Linux environments
• Programmed and executed 50+ automation algorithms for high-performance computing and machine learning
(Llama, GPT) experiments on Linux/Unix and Windows OS, utilizing Python, Bash/Powershell, and Docker
• Led the initiative to unify testing frameworks across teams into a department-wide tool compatible with any
hypervisor or host OS, adapting to diverse software environments to streamline GPU virtualization workflows