Spearheaded high-impact generative AI and MLOps initiatives, translating ambiguous business problems into scalable ML solutions to accelerate Shopify's mission. Championed the full lifecycle of advanced AI systems.

• Created a GenAI tool for R&D tax credits, reducing application time by 95% and enabling a 2.5x increase in applications through LLM-powered automation, data extraction, and an LLM-as-judge quality framework

• Developed and deployed an ensemble forecast system (Prophet + ARIMA), improving accuracy by 20%, now the standard for operational planning and investor guidance

• Led major infrastructure modernizations, delivering 2.5x forecast tuning speedups, migrating key services across 6+ repositories with zero downtime, and upgrading critical dependencies

• Hackathon: Built an AI help bot automating ~25% of team support inquiries; and co-developed an agentic LLM-based taxonomy annotation judge designed to enhance data quality from human/AI annotators and manage ongoing taxonomy evolution

• Mentored junior engineers, guiding interns to lead projects and become full-time engineers

Progressively led a wide array of machine learning projects, focusing on forecasting, data system automation, MLOps, and enhancing data-driven decision-making for Finance.

• Progressively led the evolution of the company's revenue forecast, achieving a low error rate of 2% (4-month horizon) by implementing country-specific regressors, holidays, and architectural optimizations (e.g., 10x segment reduction). Championed forecast process automation, delivering a ~7x speedup (1 week to 1 day) and improving explainability for executive leadership

• Delivered critical inputs to the CFO and senior executives for financial planning by owning and delivering forecast analysis for quarterly earnings, investment planning, and major business milestone projections

• Developed and enhanced key data systems: integrated procurement data for Finance/Legal spend reporting, a widely used daily business metric summary (10K+ views/month)

• Mentored team members, fostering their growth into subject matter experts; secured 3rd place in a company-wide ML Challenge (Hackathon)

• Lead efforts in the internal audit team to upgrade their advanced Optical Character Recognition (OCR) tool which can quickly search through thousands of documents to validate most audit checks without auditor intervention

• Reduced critical false positive rates in the OCR tool by re-tooling NLP algorithms and expanded the tool's capabilities to perform more complex audit checks which enabled the tool to be used in larger audits in more countries

Influenced executive-level strategy and increased customer value by generating analytical insights, models, and reports.

• Discovered 1M+ underserved customers with informal income sources using Al, yielding an $80 million revenue opportunity

• Reduced time to make branch placement decisions from weeks to hours by clustering geographic areas using socioeconomic factors

• Greatly increased portfolio forecasting accuracy by creating a forecasting tool based on customer-level behavioural segmentation

• Improved agility and reduced cost by leading a team to create a secure, automated dashboard with 200+ KPis from across the bank