Francisco Martin
Co-founder And CEO at Jobiak
Corvallis, Oregon, United States
Summary
👤
Senior🎓
Top SchoolFrancisco Martin is a serial founder and CEO with 14 years of hands-on experience turning machine learning research into commercial platforms, currently leading BigML and AccuShoot from Corvallis, Oregon. He combines deep academic roots—a PhD in AI and postdoctoral work in machine learning—with repeated startup exits and enterprise deals, having built multiple companies to 100+ employees and negotiated tens of millions in funding and revenue. Francisco’s expertise spans the full product lifecycle: conceptualizing, architecting, implementing and operating intelligent systems that scale from prototypes to production. He is a pragmatic engineer who still contributes to core code—improving BigML’s Python API and refining progress and validation utilities—illustrating a rare blend of CEO-level strategy and backend craftsmanship. Known for pioneering personalization and semantic-web applications, he also co-authored numerous patents that were acquired by major tech players. Pragmatic, research-driven, and business-savvy, he excels at turning complex AI ideas into revenue-generating products.
14 years of coding experience
13 years of employment as a software developer
Postdoc Machine Learning, Postdoc Machine Learning at Oregon State UniversityUPC Universitat Politècnica de CatalunyaUniversitat Politècnica de València
Stackoverflow
21reputation
716reached
2answers
0questions
Github Skills (13)
api10
python10
apidoc10
http-request9
urllib9
machine-learning8
decision-tree6
pmml6
php6
google-app-engine6
weka6
serialization6
r6
Programming languages (1)
Github contributions (5)
bigmlcom/python
May 2012 - Aug 2013
Python bindings for BigML.io
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 commits in 1 year 3 months
Contributions summary:Francisco refactored and updated the `bigml/api.py` file, substituting `create_source` for `stream_source` using `poster`, adding a progress bar, and cleaning comments. They also improved the `progress_bar`, `get_ids` and `url_validation` functions. Further changes included refactoring returns and removing redundant code. The user's contributions primarily centered on the core functionality of the BigML API integration.
apipythonpython-bindingsbigmlmachine-learning
aficionado/jsonpml2dot
Jul 2014 - Apr 2015
Contributions:7 commits, 2 pushes in 9 months
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