Senior Machine Learning Engineer
I build machine learning systems and software products with a focus on practical impact, strong engineering, and real-world usability.
My recent work has centered on applied machine learning, retrieval, multimodal systems, and production-grade experimentation. I enjoy turning ambiguous problems into reliable systems, especially when the work sits at the intersection of research depth and product value.
What I focus on
I like work that starts with a messy problem and ends with a clear, reliable experience for real people.
Quick Snapshot
Senior ML engineering, NLP, retrieval, multimodal systems, and software delivery.
Ambiguous applied ML problems with room for strong engineering and iteration.
One content file, static deploy, no Hugo complexity.
Experience
Bloomberg - Toronto, Ontario
Working on applied machine learning problems across multimodal understanding, retrieval, model quality, and scalable experimentation.
Amazon - Toronto, Ontario
Contributed to production software and large-scale systems work in a cloud-heavy environment, with a focus on practical engineering and distributed data processing.
AltaML - Toronto, Ontario
Led and delivered ML projects end to end, from problem framing and data exploration to model deployment and client-facing solution development.
Skills
Featured Projects
A personal project exploring language technologies for Kurdish across web, graph, and speech applications.
A progressive graph builder designed to power a more context-aware personal assistant.
A search and recommendation platform to help students explore courses with more confidence.
An exploration of deep learning and document similarity for education-focused text data.
About
I am a machine learning and software engineer based in Toronto. My background spans applied research, product engineering, information retrieval, NLP, and production ML systems.
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