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Loïc Muhirwa

US & CA

Machine Learning Engineer and Applied Researcher with a graduate foundation in mathematics and medical computer vision. Specializing in architecting and shipping large-scale enterprise Generative AI systems, autonomous agents, and production inference platforms. Previously a Tech Lead Manager in the Government of Canada, leading the delivery of national-scale machine learning systems, from public health analytics across the Canadian population to economic statistics across the country’s businesses.

Experience

Apr 2024 – Present

Forward Deployed Engineer, Generative AI

(Software Engineer)
Apr 2024 – Present

Tech lead on multi-million dollar enterprise AI engagements, designing and shipping production-grade Generative AI agents.

  • —Lead architecture and deployment for $XXXM enterprise Generative AI initiatives.
  • —Direct engineering teams in deploying autonomous agent systems into enterprise production environments.

AI Research Engineer

(20% Project)
Oct 2025 – May 2026

Translating cutting-edge research in agent inference and large-scale ML platform migrations into practical, high-impact enterprise solutions.

Jul 2023 – Apr 2024

AI Model Post-Training

(LLM Engineer)
Jul 2023 – Apr 2024

Post-training of Bell's in-house custom models used in its call center operations.

Jul 2017 – Feb 2024 · ~7 yrs

Staff Machine Learning Engineer & Tech-Lead Manager

May 2022 – Feb 2024

Led a cross-functional team of AI & ML Engineers and Data Scientists focused on research, system architecture, and consultancy for federal agencies.

  • —Directed the overhaul of how cutting-edge AI research and production solutions were architected and delivered across domestic and foreign agencies.
  • —Championed team cohesion, mentorship, and high-velocity delivery through government-wide restructuring.

Senior Machine Learning Engineer

May 2021 – May 2022

Senior engineer on production ML platforms, responsible machine learning frameworks, and Natural Language Processing pipelines at Statistics Canada.

Machine Learning Engineer

Dec 2019 – May 2021

Sole methodology developer, pipeline engineer, and dashboard designer for the Dynamic Topic Modelling system applied to the Canadian Coroner and Medical Examiner Database (CCMED).

Mathematical Statistician

Jul 2017 – Dec 2019

Developed optimization models and adaptive data collection algorithms deployed across 65 federal business surveys, optimizing estimate precision while lowering respondent burden.

Education

MSc in Mathematics

· University of Ottawa
2019 – 2022

Computer vision applied to medical neuroimaging, completed concurrently with full-time engineering. Grade of A+ across all coursework.

Thesis: A Generative Approach to Simultaneous Diffeomorphic Registration and Lesion Segmentation of Neuroimages (Supervisor: Dr. Tanya Schmah)

BSc in Mathematics

· University of Windsor
2012 – 2017

Concentration in pure and applied mathematics, with comprehensive foundational coursework across Computer Science, Biology, and Chemistry.

Selected Research & Publications

Awards

Google · Jan 2026

Business Impact Award, Gemini Enterprise

Recognized for key business and production impact on enterprise Gemini agents.

Government of Canada · May 2022

Agatha Chapman Innovation Award

Recognized by the Deputy Minister for innovative machine learning methodologies.

Government of Canada · Sep 2021

Performance Recognition Award

Awarded for high-impact technical leadership on production NLP systems.

NSERC · 2019

Canada Graduate Scholarship (CGS-M)

National research award recognizing academic excellence in mathematical graduate research.