Owen Bidder
Founding Machine Learning Engineer at Fi
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolOwen Bidder is a Founding Machine Learning Engineer with a PhD in Biological Sciences and eight years of experience applying Bayesian statistics, signal processing, and deep learning to real-world sensor and ad-tech problems. He blends statistician rigor, clear communication (awarded in both written and verbal skills), and hands-on engineering to take models from research through production on platforms like GCP and Vertex AI. His background includes wearable-tech research and transfer learning for aerial imagery—work that led to measurable improvements in animal detection and a patent contribution for NLP-driven email targeting. At Sojern and Aktana he built scalable pipelines, time-series and Bayesian models for omni-channel advertising, while at Fi he now develops activity recognition for smart collars, closing the loop from product requirements to deployed models. He frequently plays the connector role—scrum master, mentor, and presenter to leadership—ensuring technical work drives product impact. Notably, his academic-to-industry trajectory is anchored by practical wins in recovering corrupted biosensor signals and deploying low-latency signal-quality models.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biological Science, Doctor of Philosophy (Ph.D.), Biological Science at Swansea University / Prifysgol Abertawe
English, Welsh, German
Github Skills (20)
tensorflow9
bayesian9
classifier7
interpretable-machine-learning7
python7
pandas6
xai6
medium5
machine-learning4
deep-learning4
detector4
classification3
object-detection3
machine-learning-models3
windows3
Programming languages (4)
Github contributions (5)
orbidder/dogs
Jun 2018 - Jan 2020
All files for classification of canid accelerometer data to identify scent marks
Contributions:2 PRs, 27 pushes, 3 branches in 1 year 8 months
classification
orbidder/datascience
Nov 2019 - Nov 2019
Contributions:2 pushes, 1 branch in 14 days
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