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Experience

Work
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  1. Machine Learning Engineer

    Mar 2026 – Present

    Layer 6 AI · TD Bank

    • Built the automated evaluation framework on the Agentic AI team, now used to evaluate agentic conversations across the entire bank.
    • Cut deployment time for new automated evaluation solutions from roughly six months to a few weeks by standardizing the evaluation pipeline and making evaluators configurable.
  2. AI / Machine Learning Engineer

    Dec 2024 – Feb 2026

    JSI

    • Led the migration from a proprietary orchestration framework to Agno/LangChain, enabling a modular, LLM-based agentic retrieval and summarization system integrated with MCP; deployed on-premises across customer sites with 100+ GPUs.
    • Built a real-time RAG pipeline to embed and retrieve billions of multimodal records (audio, text, image), significantly improving search latency and contextual relevance.
    • Spearheaded the company-wide evaluation framework, using DeepEval and A/B testing to measure relevance, latency, and interaction quality.
  3. Junior AI / Machine Learning Engineer

    May 2019 – Sep 2022

    JSI

    • Designed and deployed a real-time threat detection system that scanned high-volume multimodal data streams (audio, text, images, video) to detect and alert on high-risk activity using anomaly detection and proprietary ML models.
    • Proposed and implemented a Kafka-based event-driven architecture for time-sensitive alerting, reducing end-to-end notification latency by 33%.

Education
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  1. Master of Computer Science (Thesis), Machine Learning

    2022 – 2024

    Carleton University

    GPA 4.0 / 4.0. Thesis: Toward Robust Automated Cardiovascular Arrhythmia Detection using Self-supervised Learning and 1D Vision Transformers.

    Courses: Advanced Machine Learning, Natural Language Processing, Deep/Reinforcement Learning.

  2. Honours BSc Computer Science, AI Specialization

    2016 – 2020

    University of Ottawa

    GPA 4.0 / 4.0, summa cum laude.

Skills
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Machine learning

Transformers & LLMs RAG & vector search Agents & MCP Self-supervised learning Parameter-efficient fine-tuning Time-series LLM evaluation

Engineering

Python PyTorch LangChain / Agno DeepEval Docker & Kubernetes Kafka HPC / GPU SQL C# JavaScript

Languages: English (fluent), French (intermediate)