Writing code, building products, and solving problems.

Launched Canvas.monuit.dev — built to answer a simple question: how can projects be visually displayed in a more compelling, thoughtful, and creative way? The platform challenges uncreative norms by introducing a dynamic, canvas-driven approach to showcasing work.

Redesigned the trueCivic approach — pivoted from Parliament data to building a Stats Canada RAG/LLM system aggregating national datasets, paired with a Neo4j metadata graph to surface interlinked trends, relationships, and analytical insights across Canada's socioeconomic landscape.

Launched To-Downtime — a live map of Toronto TTC disruptions, road closures, and construction work.

Started developing To-Downtime — a real-time Toronto transit and traffic tracker built with PostgreSQL and Leaflet for live map visualization.

Spoke on CBC Metro Morning with David Common — shared insights on mapping 37M+ Toronto parking tickets and public engagement through data. Tune in to Metro Morning.

Invited to speak on CBC Metro Morning with David Common — discussing the Toronto Parking Over the Years project and open data transparency.

Started developing trueCivic.ca — visualizing publicly accessible Parliament data to make Canada's federal governance more transparent and engaging.

Featured in Toronto Life — "This data scientist mapped every parking ticket issued in Toronto over the past 16 years" by Carly Lewis.

Launched Toronto Parking Over the Years — an interactive data visualization of 37M+ parking tickets across 16 years (37M+ parking tickets visualization)

Started developing PlaygroundRL — an interactive reinforcement learning sandbox exploring in-browser training for PPO and DQN agents using React Three Fiber and ONNX Runtime Web.

Started developing Toronto Parking Over the Years — exploring 16 years of city parking data and visualizing 37M+ tickets across Toronto.

Launched ApplySmart.work — resume-refinement SaaS (Wasp, React, TypeScript, LLM APIs + Stripe), scaling to 1K+ monthly requests and ~$500+ MRR with churn <5%.

Prototyped a retail fit recommendation engine at a Stealth Startup — piloted with 100+ shoppers; improved purchase intent and projected 10–15% fewer returns via garment fit simulation.

Founded Nodeflow AI — delivered AI automations (chatbots, cold-calling agents, YouTube clipping workflows) for 300+ businesses, reaching ~$2K+ MRR; reduced client workloads by ~40% and boosted engagement >20%.

Began Master's in Data Science — focusing on machine learning, NLP, and advanced analytics.

Earned Professional Scrum Product Owner (PSPO) certification from Scrum.org.

Earned Certified Scrum Product Owner (CSPO) certification from Scrum Alliance.

Launched my personal portfolio site — iterated and refined the design and storytelling multiple times.

Graduated from Sheridan College with a Diploma in Computer Science.

Advanced to Data Scientist at Definity Financial — led ClaimCenter & Oracle EDM migrations; engineered predictive models on BigQuery/dbt; shipped GCP Vertex AI MLOps (CI/CD, drift detection), saving ~$800K annually and cutting release cycles to hours.

Joined Iovate Health Sciences as a Business Analyst and quickly expanded into a Data Analyst remit — deployed PyTorch RNN forecasts on Snowflake/Azure, reduced stock-outs by 30%, and freed $1M+ working capital; built executive dashboards used daily.

Transitioned into Reckitt Benckiser as Project Coordinator — automated product launch reporting (Power BI + Azure) and built demand forecasting models; founded a global Disability ERG (600+ employees), recognized with the Global CEO Award.

Joined Mondelēz International as an Allocation Analyst — optimized festive season orders with SAP ECC/APO, reduced stock-outs, and improved on-time delivery for the Canadian market.

Moved to PepsiCo’s Frito-Lay facility as a Packaging Supervisor Intern — led 8 production lines and 70+ employees; launched sustainability projects that cut water use and waste.

Started at Estée Lauder as a Supply Chain Intern — built automation tools, dashboards, and real-time KPI analytics that boosted warehouse productivity.