Kubernetes Platform Engineer (CKAD)

• Deploying "The Zone", Statistics Canada's sovereign data science platform, onto Aurora — GC Cloud One's new cloud-neutral Kubernetes platform provisioned end-to-end with Terraform infrastructure as code across Azure and private cloud environments
• Supporting Aurora's security posture through infrastructure security reviews and by authoring Tetragon (eBPF) runtime security policies for workload behavior enforcement

Data Platform Engineer, "The Zone" · Team Lead

• Architect and technical lead for the agency's sovereign data and ML platform on Kubernetes ("The Zone"), engineering open-source infrastructure (Kubeflow, JupyterLab, Docker) serving 50+ statistical programs
• Spearheaded embedding SAS within the platform, creating a critical user bridge and a secure, gradual migration path from SAS to open source (Python/R) that accelerated adoption and de-risked the modernization roadmap
• Led development of LLM-based automated code translation, further accelerating the institutional migration from SAS to open source
• Designed and deployed foundational Kubeflow and JupyterLab infrastructure for MLOps workflows, meeting stringent federal security standards and securing operational authorization (ATO)
• Mentored developers in GitOps, CI/CD, containerization, and ethical data handling; collaborated with security, privacy, and cloud teams to ensure TBS and SSC standards compliance
• Foundational work enabling the long-term vision of a federated data processing platform for all levels of Canadian government

Lead Data Scientist (Data Analytics Business Services)

• Led the design, development, and compliance of an AI-powered web application automating health inspection report classification, adhering to F.A.I.R. data principles and federal standards
• Built machine learning pipelines and data infrastructure for public health surveillance, consumer price analysis, and real-time analytics during the pandemic response
• Enhanced system security and data integrity while strengthening cross-functional collaboration across science, privacy, and IT teams
• Mentored junior data scientists and translated complex model outputs into clear, actionable insight for non-technical stakeholders

Data Scientist, Consumer Prices Division

• Automated Consumer Price Index (CPI) calculations with a self-developed AI clothing-classification model, reducing manual effort and errors
• Implemented secure, compliant data pipelines aligned with federal protection standards, ensuring audit-ready processes
• Automated manual Excel/PowerBI-dependent workflows in Python, laying the groundwork for the agency's platform migration
• Collaborated with economists on statistical methodology and data validation

Bioinformatics Programmer

• Enhanced the Sampletrees project's Markov chain Monte Carlo (MCMC) algorithm for gene genealogy sampling from SNP genotype data, improving accuracy and efficiency

Artificial Intelligence Intern

• Contributed to a predictive model for the 2018 Ontario elections by integrating Canadian census data and Twitter sentiment analysis

NLP Research Assistant

• Developed a supervised learning model classifying rhythmic vs. non-rhythmic poetry, using web scraping to compile training data and a custom rhyme-detection algorithm; work published at FLAIRS-29

Bicycle Mechanic

• Moved into performance, mountain, and road bike systems at a smaller shop, taking on customer intake, diagnostics, and scheduling — at times the only mechanic on duty, responsible for the hardest repairs
• Grew from executing known procedures to diagnosing unknown failures (technician to engineer), and led customers through the "cheap repair" vs. "proper repair" trade-off — systems thinking made tangible

Bicycle Mechanic

• Repaired and assembled commuter, folding, recumbent, and touring bikes for all-weather commuters, couriers, and cargo haulers at a worker-owned co-operative and hub of Toronto's cycling community
• Learned exacting system-integration discipline — frame alignment, wheel building and truing, drivetrain and brake calibration — on thousands of city bikes
• Built a touring bike frame-up, including hand-built wheels: hard lessons in material limits that later translated directly into architecture — you cannot optimize your way out of a flawed foundation

Neuroscience Research Assistant, Dr. Keith Schneider's Lab

• Traced lateral geniculate nucleus (LGN) and thalamic reticular nucleus (TRN) masks on structural MRI sequences using FSLview, contributing to a probabilistic atlas derived from a sample of manually traced masks
• Developed efficient methods for brain region localization and tracing across coronal, sagittal, and transverse imaging views
• Gained hands-on neuroimaging and data analysis experience that motivated a shift from biology toward computer science and machine learning

Volunteer Bicycle Mechanic & Instructor

• Taught bicycle maintenance skills to community members and helped build community through shared mechanical knowledge at Toronto's bike cooperative
• Promoted sustainable transportation initiatives and community workshops

Construction & Maintenance

• Contributed construction and physical labor in service of the martial arts community during the dojo's relocation and renovation

MSc, Statistics — thesis in natural language processing and statistical modeling

BSc, Statistics with minor in Psychology — coursework in computer science (data structures, algorithms, discrete structures, programming) and computational statistics

Psychology & Biology (double major) — coursework in psychology, biology, chemistry, mathematics, and introductory programming

Diploma, Shiatsu Therapy and Traditional Chinese Medicine

Foundation Studies — colour and composition, drawing, time-based media, form and structure, and visual culture

Art History & Visual Studies