Miguel Conner
Data Scientist - Super Agent
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMiguel Conner is a GenAI Data Scientist in Portland with 11 years of experience applying machine learning and language models to product-focused research. He builds agentic AI, robust evaluation frameworks, and scalable APIs at AILY LABS while co-founding language-learning apps that reached 350+ monthly users, blending product validation with SFT and RL experiments. An educator at heart, he has 4+ years teaching LLMs, ML, physics, and ESL—from elementary classrooms to a Barcelona School of Economics course on harnessing language models. His background in physics and stints at organizations like The World Bank and EconAI inform a data-driven approach to socio-technical problems, including political instability forecasting with LLMs. Comfortable moving between research, engineering, and pedagogy, he’s particularly interested in how LLMs can transform education and collaboration through knowledge graphs and agentic workflows.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science Methodology, Master of Science - MS, Data Science Methodology at Barcelona School of EconomicsBachelor's Degree, Physics, Bachelor's Degree, Physics at Reed College2020, 2020 at Inter-University Center for Japanese Language Studies (IUC)
Spanish, English, Japanese, Catalan
Github Skills (5)
predict5
python2
machine-learning1
leaflet1
data-science1
Programming languages (2)
Github contributions (5)
dothereading/dothereading.github.io
May 2015 - May 2025
Contributions:54 pushes, 1 branch in 10 years 2 months
antoniageorge/SIM_project
Dec 2022 - Dec 2022
Using FIFA data on players to predict outcomes in the Spanish Primera Division.
Contributions:27 commits, 1 PR, 27 pushes in 17 days
divisionprimerapythonplayersdata-science
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