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Experience

Data Scientist, Machine Learning

Farm Mutual Re · Cambridge, ON

Jul 2025 – Present
  • Data & Machine Learning
PythonSQLKQLFabricPowerBIAzure DevOps

Machine Learning Engineer

Rexelle · Toronto, ON

Apr 2025 – Present
  • Reverse engineered HTTPS request/response payloads using Fiddler to extract real estate data, then implemented cleaning/normalization and persisted curated datasets in MongoDB for ML training/inference
  • Implemented a full ML pipeline: flattened nested JSON to normalized schemas with validation/error handling, designed MongoDB indexes for feature retrieval performance, trained Python house price models, and integrated regulator feeds/APIs into ingestion services
PythonMongoDBFiddlerscikit-learn

Associate Actuary, Developer

PartnerRe · Toronto, ON

Aug 2024 – Jun 2025
  • Re-engineered Moody's AXIS VB.NET scripting framework with consistent patterns, shared utilities, and cleaner control flow to improve interpretability, testing, and execution efficiency
  • Streamlined AXIS workflow by developing and integrating native C++ DLL in Visual Studio, achieving 96% reduction in runtime, leading to being tasked with engineering DLL solutions to accelerate data and policy information table (PIT) pipelines within AXIS
C++VB.NETMoody's AXISVisual Studio

Software Engineer

Synaply · Toronto, ON

Apr 2024 – Apr 2025
  • Shipped full-stack features in TypeScript (React + Express/Node), owning end-to-end delivery from requirements and API/data-contract design through testing, code reviews, and production validation
  • Designed and performance-tuned PostgreSQL for high-ingestion, low-latency workloads, optimizing indexes and query plans (EXPLAIN/ANALYZE) to improve hot-path filter/search performance
  • Built a Python RAG-based LLM pipeline for summarization and theme extraction, iterating on retrieval + model behavior with the R&D team and supporting production reliability via vulnerability remediation and runtime security controls
  • www.synaply.io
TypeScriptReactExpressPostgreSQLPython

Actuarial Analyst, Business Planning and Capital Management

Foresters Financial · Toronto, ON

Sep 2022 – Apr 2024
  • Built a Python-based automated IFRS 17 LRC calculator, implementing balance-sheet bucketing and classification logic to produce standardized outputs with faster run-time
  • Engineered SQL stored procedures to (1) auto-prune unused segmentation and line items to streamline roll-ups and (2) persist new raw outputs as terminal-node records as data sources evolved
  • Led the IFRS 4 to IFRS 17 migration of a VBA analytics library by refactoring node routing and dependency chains, and delivered VBA automation tooling that cut manual processing time by up to 90%.
PythonSQLVBA

Technologies

Programming Languages

Python (pandas, scikit-learn), R (tidyverse, caret), C++, DataLink/VB.NET, VBA, TypeScript, Java, SQL, KQL

DBs & Tools

SSMS, PostgreSQL, MongoDB, AXIS, Docker, Git, MS Office, OracleDB, PowerBI/Fabric

Education

Honours Bachelor of Science in Pure Mathematics

Conferred 2022

University of Toronto

Professional Exams

Society of Actuaries

2022 - 2025

Associate of the Society of Actuaries2025