Spencer Hayes-Laverdière

Generative AI (images & text), computer vision, and search & recommendation systems.

Spencer Hayes-Laverdière

Professional Experience

OS
2024

Off/Script

Machine Learning Engineer • Apr 2024 - Sept 2024 • Montreal, QC
  • Reduced GPU VRAM requirements by 50%, saving the company $10k per month on server costs
  • Developed a sketch-to-image tool using Stable Diffusion enabling users to generate images starting from an existing sketch
  • Led the development of the ML team's REST API, serving endpoints including a new feed model that reduced latency from over 3 seconds to under 500ms, incorporating automated documentation, testing, and schema validation
CM
2023

Crossing Minds

Data/Machine Learning Engineer • Jan 2023 - Apr 2024 • San Francisco, CA (Remote)
  • Successfully designed and deployed data pipelines using Python and Airflow for a LangChain Agent leading to a 30% increase in billing efficiency
  • Added 4 new endpoints to a distributed micro-service REST API platform on Kubernetes that serves real-time low-latency recommendations
  • Engineered a hybrid analytics and logging endpoint that fed events to Looker and BigQuery, reducing frontend debug time by over 50%, while also enhancing long-term analytics capabilities
LV
2021

Leav

Head of Data • Sept 2021 - Jan 2023 • Montreal, QC
  • Designed and deployed a robust data infrastructure for real-time event streaming on Azure and oversaw its migration to GCP using Pub/Sub, Dataflow, and Cloud Storage
  • Oversaw training and deployment of a real-time recommendation API in Python with Flask, served on Cloud Run using Docker containerization, achieving sub 500 millisecond response times for hundreds of requests per second
  • Participated in the development and optimization of a real-time computer vision model using Tensorflow and NVIDIA TensorRT
AN
2021

Anagraph

Data Scientist - Contract • May 2021 - Sept 2021 • Montreal, QC
  • Delivered specialized geospatial data analyses using Python and SQL
  • Designed and built in-house data science infrastructure, including new DBT testing methods and a JupyterHub deployment
SF
2020

SquareFeet.ai

Machine Learning Engineer • Sept 2020 - May 2021 • Montreal, QC
  • Spearheaded the development of pricing and search algorithms on datasets of 10+ million instances through tools like Tensorflow, PyTorch, XGBoost, and PostGIS, contributing to the company's successful acquisition
  • Setup MLOps tools like MLFlow, SHAP, and Data Version Control to track model insights, perform validation, and simplify deployment
  • Trained and deployed large cloud models using accelerated hardware through AWS' SageMaker
UO
2018

University of Ottawa

Instructor • 2018 - 2020 • Ottawa, ON
  • Designed and taught Electrical & Computer Engineering courses, focusing on practical skills like coding and 3D printing

Projects

Recent Blog Posts

Coming Soon

Blog posts are on the way! Check back soon for insights on AI, computer vision, and technology. In the meantime, check out my Medium publications.

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