Oleguer Canal
Machine Learning Engineer at Apple
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolOleguer Canal is a machine learning engineer with 8 years of experience building production-grade AI systems, currently contributing to large-scale ML within Apple’s Services Team. He has a strong applied ML background from roles at Happy Scribe—where he led in-house training infrastructure and sequence-model experiments that cut AI costs by 54% and improved conversion and reviewer accuracy—and research stints at KTH, MIT and EA on robotics, perception and multi-task reinforcement learning. His work spans speech-to-text, diarization, confidence estimation, timestamping and agentic transcription improvement, combining experimentation (CTC, Transducer, Transformer, Diffusion) with rigorous A/B testing and real-time monitoring. Comfortable moving research into customer-facing products, he pairs a formal ML education from KTH with hands-on engineering across robotics and SaaS, and has a knack for squeezing operational AI costs without sacrificing user experience. An unusual strength is his cross-domain fluency: from tactile-driven robotic grasping to large-scale speech systems, he bridges perception, RL and production ML. Located in Barcelona, he brings both academic depth and measurable product impact to ML engineering challenges.
8 years of coding experience
7 years of employment as a software developer
BSc Final Thesis, Mathematics & Industrial Engineering, BSc Final Thesis, Mathematics & Industrial Engineering at Massachusetts Institute of TechnologyMaster's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of TechnologyMathematics & Industrial Engineering, Mathematics & Industrial Engineering at CFIS-UPCUPC Universitat Politècnica de Catalunya
Catalan, Spanish, English, German
Stackoverflow
55reputation
3kreached
1answer
4questions
Github Skills (69)
transformers10
python10
generative10
deep-learning10
gemma10
glm10
multimodal10
audio10
generative-ai10
transformer10
nlp10
ssm10
natural-language-processing10
pytorch10
machine-learning-models10
Programming languages (8)
Github contributions (5)
CampusAI/CampusAI.github.io
Feb 2020 - Nov 2021
DeepRL content website:
Contributions:342 commits, 10 PRs, 237 pushes in 1 year 8 months
deeprlrldrlreinforcement-learning
CampusAI/HyperParameterOptimizer
Mar 2020 - Oct 2021
Library to automate hyperparameter optimization in ML models using: GridSearch, GP regression Optimization
Contributions:1 review, 25 commits, 3 PRs in 1 year 6 months
grid-searchhyperparameter-optimizationmlmodel
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