Martin Abeleda is a Staff Machine Learning Engineer with a decade of experience building production-grade ML systems and petabyte-scale backend architectures, currently leading ML efforts at Yelp in Vancouver. He blends hands-on proficiency in Python, Scala and Rust with deep experience in PyTorch/TensorFlow models (CNNs, transformers, XGBoost) and production deployment via FastAPI, gRPC, Kubernetes, CI/CD and MLOps tooling. Martin has a track record across startups and research-inflected teams—from Nearmap’s aerial imagery work to Borealis AI—bringing both early-stage product instincts and large-scale data processing know-how with Spark, Flink, Kafka and Iceberg. Comfortable owning the full stack of model development, data infrastructure and observability, he pairs rigorous engineering with a research background in mechatronics, which surfaces in his practical approach to complex systems and data-driven feature engineering.
Contributions:27 commits, 3 PRs, 29 pushes in 13 days
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Martin Abeleda - Staff Machine Learning Engineer at Yelp