Peter Meleney - Founder at Pancake Data

Peter Meleney

Founder at Pancake Data

New York, New York, United States

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Summary

👤

Senior

🎓

Top School

Peter Meleney is a founder and independent AI researcher with a decade of experience applying rigorous analytical training from Harvard, MIT, and the University of Washington to build data-driven products and models. He blends hands-on machine learning, feature engineering, and data visualization with scientific communication skills honed in academic geochemistry and lab instrumentation. At Pancake Data he’s leading a stealth startup after prior client-facing data science roles at DemystData and a social-impact microloan project at ArthLabs, demonstrating an ability to move between technical delivery and stakeholder-facing strategy. His research curiosity focuses on how neural networks make moral decisions, signaling a rare intersection of ethics, ML interpretability, and applied economics. Based in New York, he thrives in high-expectation, collaborative environments and brings a background in physical sciences that informs robust, empirically grounded modeling.

10 years of coding experience

7 years of employment as a software developer

Master's degree Data Science, Master's degree Data Science at University of Washington

Data Science, Data Science at General Assembly

Bachelor of Science (BS) Chemistry/Geology combined, Bachelor of Science (BS) Chemistry/Geology combined at Whitman College

High School Focus on math and sciences especially chemistry and organic chemistry, High School Focus on math and sciences especially chemistry and organic chemistry at Lakeside High School

English

Github Skills (29)

notebook9

ipython9

structure-from-motion8

jupyter8

stereo8

geometry8

intrinsics7

python7

homography7

computer-vision7

instance-type7

colmap6

similarity6

convolutional-neural-networks6

data-science6

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

pmeleney/AWS-foryou

May 2019 - Jun 2019

DATA515 project. We aim to help users select the best AWS instance type given budget and time constraints.

Contributions:43 pushes in 17 days

budgetinstance-typeaimaws

pmeleney/portfolio_data_science

Apr 2016 - Sep 2017

Contributions:8 pushes, 1 branch in 1 year 5 months

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