I build machine learning and software systems end to end, from Fyndel's financial forecasting and workbook intelligence workflows to NLP and anomaly-detection projects with practical data pipelines, APIs, and interfaces.
Primary lane
Applied machine learning, software engineering, and data-heavy systems work across financial, NLP, and anomaly-detection problems
Current focus
Fyndel: an AI-powered construction finance platform for forecasting, workbook intelligence, accounting integrations, and tenant-scoped financial signals
Machine learning with broader engineering range
I am an Electrical Engineering student in the Computer Option at Dalhousie University, building Fyndel and ML systems that stay close to data quality, evaluation, inference services, APIs, embedded constraints, and the interface where someone finally uses the result.
Capability shape
Skill depth clusters around applied ML and the engineering work that carries it into usable systems.
Fyndel is an AI-powered construction finance platform with WIP reporting, secure multi-tenancy, workbook intelligence, forecasting workflows, and tenant-scoped financial insight delivery.
NLP, anomaly detection, model evaluation, and the engineering work required to make model output usable beyond an experiment notebook.
Embedded C and FreeRTOS work on LORIS has kept reliability, protocols, and failure modes central to how I approach software systems.
Selected experience
Nov 2025 - Present
Fyndel
Co-founded Fyndel, an AI-powered construction financial intelligence platform for WIP reporting, forecasting, workbook imports, accounting integrations, and multi-tenant financial workflows.
Multi-month development cycle
Milton Training Needs Analysis Platform
Engineered a hybrid NLP workflow in a Lockheed Martin capstone project, reaching 95% KSA extraction accuracy with sub-second API response times.
Oct 2021 - Apr 2023
Dalhousie University (Emera IdeaHub)
Advised students on more than 100 engineering projects, spanning mechanical, electrical, and software implementation work.
Selected work
AI-Powered Construction Fintech Platform
AI-powered construction finance platform turning WIP reports, cost data, workbook imports, and accounting signals into forecasts, risk signals, and operational insight.
A production-focused product build combining financial data modeling, workbook intelligence, predictive models, and tenant-scoped insight delivery.
NLP / Applied ML Platform
Hybrid NLP and classification system for extracting KSAs and scoring training needs from technical documents.
An end-to-end NLP system built in a Lockheed-linked capstone setting, combining language modeling, scoring logic, API design, and a workflow a non-ML user could use.
Next step
I like work where model behavior, data flow, API boundaries, and interface details have to line up cleanly enough for someone else to trust the system.