Summary
Tobias Renwick is a data scientist and code-first researcher with nine years of experience specializing in Natural Language Processing, semantic search, and scalable text analytics. He combines industry experience at Scotiabank working with massive text corpora and cloud tooling (GCP, Spark, Airflow, JupyterHub) with academic research developing fast vector search methods—his MS work on DFx leverages popcount optimizations to speed semantic similarity without dimensionality reduction. Tobias has taught and built course and lab infrastructure for computer science programs, deployed auto-grading systems, and runs a small consultancy delivering web services and technical solutions. Comfortable across ML stacks (TensorFlow, PyTorch, scikit-learn, pandas) and distributed systems, he brings practical engineering chops from low-level optimization to production pipelines and a longstanding interest in consensus protocols and systems design.
9 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Alberta
Bachelor’s Degree, Computer Science, 3.98, Bachelor’s Degree, Computer Science, 3.98 at MacEwan University
English, French