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Senior AI/ML Scientist @ Microsoft AI - PhD in CS
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AI Technical Lead with a Ph.D. in Computer Science and 9+ years of industry experience across NLP, reinforcement learning, large language models, and production ML systems. My work focuses on post-training and alignment of language models, including reward modeling, RLHF/DPO, LLM-as-a-judge evaluation, and safety verification, building scalable pipelines that improve the quality and reliability of model outputs. I specialize in taking research-grade methods from prototype to production, where quality is measurable and impact is shipped.
Concordia University
Doctor of Philosophy - PhD, Computer Science
N/A – Present
Concordia University
Master of Science - MS, Electrical Engineering
N/A – Present
Microsoft AI
Senior Applied Scientist
March 1, 2025 – Present
Redmond, WA
Navan
Staff AI/NLP Engineer
October 1, 2023 – August 1, 2024
Palo Alto, California, United States · Hybrid
MindBridge
Senior data Scientist (NLP/GNN Tech Lead)
December 1, 2018 – October 1, 2023
Montreal, Quebec, Canada · Remote
contextere
Machine Learning Specialist (NLP-Conversational AI)
August 1, 2017 – December 1, 2018
Ottawa, Quebec, Canada
CS CANADA Inc.
Software Engineer - Commercial Jet Engines
June 1, 2015 – August 1, 2017
Montreal, Canada Area
Cultural Fit Analysis
The candidate's experience spans various companies, including large tech (Microsoft AI) and startups (Navan, MindBridge, contextere), indicating adaptability to different organizational cultures. The focus on AI/NLP aligns well with roles requiring innovation and research. However, the lack of project diversity outside of AI/NLP could be a minor concern for broader cultural fit in highly diverse technical environments.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on technical roles and research. While specific soft skills are not explicitly detailed, the progression to lead roles suggests leadership and collaboration abilities. Operational fit for an Applied Scientist role is strong given the direct relevance of past positions.