Architecting Enterprise Workflows & Mission-Critical AI Systems.
Business Analyst in Technology & Transformation at Deloitte Canada and full-stack software developer passionate about automated data pipelines, multimodal computer vision, and building impactful digital platforms.
Automated scraping engine monitoring 9 Calgary builders with Mapbox geocoding, Supabase DB & Gemini AI enrichment.
Customized PrivateGPT hybrid semantic & keyword RAG engine with ~2s response time and ~90% retrieval accuracy.
Star of Alberta Volunteerism Award from Government of Alberta, and Community Volunteerism Award from Member of Parliament Greg McLean, Calgary.
Enterprise Architecture & Advisory Disciplines.
Delivering structural resilience at the convergence of automated data intelligence pipelines, modern enterprise systems, and production generative AI microservices.
Automated Data Pipelines & Systems Architecture
Engineered for high-throughput extraction, Mapbox spatial normalization, and zero manual overhead.
Consolidates 9 fragmented Calgary builder portals into a unified data schema, automates daily ingestion with >95% pipeline reliability, and monitors operations via real-time Slack webhooks.
Applied Generative AI & Enterprise RAG
Combining multimodal vision models and private retrieval architectures to power intelligent operations.
Transforms unstructured customer media and dense enterprise documentation into real-time, mathematically grounded decision intelligence with zero manual triage.
Enterprise Systems & Technology Transformation
Bridging Big Four advisory rigor with modern platform architecture, workflow automation, and ITIL governance.
De-risks complex enterprise software modernizations, aligns executive business strategy with scalable technical delivery, and establishes audit-ready ITIL service operations.
Interactive Architecture Workbench.
Explore hands-on, node-based system schematics. Click any stage to inspect latency targets, prompt safeguards, and enterprise governance controls.
Executive Case Studies.
Engineered through the consulting STAR methodology: framing the operational challenge, executing disciplined system architecture, and delivering measurable enterprise ROI.
Franquicia Boost
Role: AI RAG Developer (Contract Project)
Enterprise Challenge (Situation)
The client operated an expanding multi-brand franchise network with over 8,000 pages of dense documentation, including proprietary franchise agreements, local compliance regulations, supplier specifications, and operational manuals. Franchise partners and internal legal advisors faced an average turnaround of 45 minutes to locate and verify clause citations, resulting in operational bottlenecks, contract dispute risks, and inflated advisory overhead.
Architectural Action Taken
Customized the open-source, plug-and-play PrivateGPT library to build an isolated, privacy-first retrieval-augmented generation engine indexing over 8,000 pages of dense operational manuals, franchise legal agreements, and SOPs with tailored hybrid semantic and keyword search.
Moovez
Role: Software Developer Intern (AI & Computer Vision)
Enterprise Challenge (Situation)
Residential moving quotes historically required customers to manually catalog every household item or wait hours for an on-site dispatcher walkthrough. Inconsistent human estimation caused widespread pricing disputes, truck undersizing, and margin leakage. Furthermore, legacy estimation tools used crude percentage multipliers that over-inflated elevator jobs by up to 68% and failed to distinguish rapid box loading from complex appliance positioning.
Architectural Action Taken
Architected the production Moovez Vision Agent, an AI-powered computer vision and logistics calculation system deployed on Streamlit Cloud. The system ingests mixed room photos and walkthrough videos (including iPhone HEIC/HEIF) in a single-batch Google Files API call with Gemini 2.5 Flash, identifies 80+ furniture and household item types, applies physical domain logistics (82% volume safety buffer, additive per-trip elevator modeling, explicit category-weighted load/unload splits), recommends optimal vehicles and workforce with interactive crew sliders, and calculates accurate pricing ranges with automated statistical performance testing.
New Homes Calgary
Role: Lead Pipeline Architect & Full-Stack Developer (Capstone Team)
Enterprise Challenge (Situation)
Prospective homebuyers and real estate professionals in Calgary struggled to navigate a fragmented new-construction market. Over 9 major home builders (including Shane Homes, Truman, Homes by Avi, Excel, and Genesis) hosted their quick-possession and presale inventory across proprietary websites with incompatible data schemas, missing coordinates, unstandardized property types, and zero centralized comparison. Buyers had no unified way to evaluate homes against critical life criteria like school catchments and neighborhood safety.
Architectural Action Taken
Architected the core property extraction, spatial geocoding, and AI enrichment engine for newhomeincalgary.ca, SAIT's flagship software development capstone project. Engineered an extensible Python scraping system across 9 Calgary home builders, integrated Mapbox spatial geocoding with quadrant detection, orchestrated Supabase database synchronization via dual GitHub Actions cron workflows, automated Gemini multimodal property classification and description synthesis with Slack monitoring, and built an intelligent consumer-facing chatbot recommending homes based on family size, school proximity, and community crime data.
Career Trajectory & Milestones.
Chronological record spanning enterprise advisory at Deloitte, applied AI engineering, valedictorian academic distinction at SAIT, and provincial volunteerism honors.
Business Analyst · Technology & Transformation
Serving in a hybrid tech-plus-functional advisory capacity within Deloitte's Technology & Transformation practice. Collaborating with the ServiceNow practice on enterprise platform implementations across diverse corporate clients, establishing ITIL-aligned service management frameworks, and developing intelligent AI microservices utilizing Microsoft Copilot Studio and Azure.
Software Development Diploma · Valedictorian
Completed the intensive Software Development Diploma at SAIT's School for Advanced Digital Technology (SADT), graduating as the Class Valedictorian with a perfect 4.0 GPA across advanced systems, algorithms, cloud architecture, and data engineering.
Software Developer Intern
Engineered the production Moovez Vision Agent, an AI-powered computer vision and domain logistics quotation engine deployed on Streamlit Cloud. Integrated Gemini 2.5 Flash with batch Google Files API uploads for mixed media (images, walkthrough videos, iPhone HEIC), calibrated physical logistics heuristics (82% volume safety buffer, additive per-trip elevator modeling, explicit category load/unload ratios), built interactive crew sliders, and authored statistical repeatability test suites.
Office Assistant & Student Services Representative
Provided student support and administrative coordination across the SAIT International Centre and the Office of the Registrar (part-time during academic studies, transitioning to full-time post-graduation). Resolved high-volume student inquiries, ensured institutional records accuracy and documentation compliance, facilitated international student onboarding, and coordinated campus field trips.
IT Analyst & Ambassador (Volunteer)
Managing all internal IT systems, identity/user account infrastructure, cloud deployments, and web platforms as a dedicated volunteer for regional non-profit digital inclusion initiatives across Alberta.
Civic & Community Recognition
Conferred prominent provincial and federal honors in recognition of extensive community volunteerism and leadership in regional digital equity and education initiatives.
Let's Connect & Talk Tech.
I'm a Business Analyst at Deloitte Canada and an enthusiastic full-stack builder. I'm always open to meeting new people, sharing learnings, and discussing data pipelines, AI models, or tech journeys.
Drop me a line anytime — I usually reply within 24–48 hours!