Education, experience, and skills
Electrical Engineer in Transition → ML Engineering · Computing & AI/ML · Bilingual (FR/EN)
Electrical engineer (Master's-level, WES-assessed) in active career transition toward Machine Learning Engineering. Combining a rigorous engineering foundation in signal processing, systems thinking, and applied mathematics with a BSc in Computing and Information Systems (AI & ML minor) at Athabasca University. Backed by 5+ years of project management across energy, construction, and community health — with proven ability to translate complex technical concepts into clear outcomes for stakeholders.
Coursework includes web design (COMP266), algorithms, data structures, Python programming, and computing fundamentals. This portfolio is a direct output of the COMP266 Web Design unit.
Coordinated partner-driven initiatives by managing timelines, deliverables, and program documentation across multiple stakeholders. Built tracking tools (spreadsheets, logs, status updates) to monitor activities and outputs for internal reporting. Prepared briefing notes and presentations to support planning and leadership updates. Supported bilingual (FR/EN) stakeholder engagement and improved program execution by standardizing templates and documentation.
Managed multi-phase project budgets, schedules, and risk tracking. Produced progress reports and decision updates for clients and leadership. Coordinated contractors and suppliers, resolving issues to keep delivery on track. Maintained structured project documentation covering scope changes, approvals, and milestones.
Tracked budgets and timelines across concurrent energy projects, monitored variances, and escalated risks early. Coordinated procurement and supplier communication. Identified delivery risks and put practical mitigations in place.
Supported project planning, documentation, and client communication. Maintained project logs and milestone tracking across energy sector initiatives.
Designed and built a multi-page responsive portfolio site from the ground up — user research, personas, mock-ups, then full HTML/CSS/JavaScript implementation. Features include animated skill bars (IntersectionObserver), multi-criteria project filtering with live text search, and real-time contact form validation with regex.
Developed a Python-based questionnaire application with a user interface to collect structured responses. Implemented input validation and basic data organization to simulate real-world data collection workflows.
Supported the organization and distribution of food supplies.
Interested in my profile? Let's connect.
Contact Me