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Assessing your cultural and operational fit
CEO at Maestro | Bitcoin Capital Markets to solve real-world problems
Co-Founder and CEO at Maestro - Building Bitcoin-native, onchain financial infrastructure for institutions, custodians, and miners. Let's unlock Bitcoin economic dynamism. Previously: > Chief Scientific Officer at Genius Yield - Bringing the power of yield optimization at your fingertips > Founder of Alpha Strategy - blockchain consulting for Machine Learning and AI > Senior ML Manager - Biotech and ML for cancer detection with DNA sequencing data > Author of Deep Learning Online courses - Advanced Computer Vision with TensorFlow (Packt Publishing) - Learning Computer Vision with TensorFlow (Packt Publishing) - Introduction to TensorFlow-Slim (O'Reilly Media) - Training Deep Neural Network Models with TensorFlow-Slim (O'Reilly Media)
McGill University
Bachelor of Engineering (B.Eng.), Mechanical Engineering
N/A – Present
University of New Haven
Master of Science (M.Sc.) in Data Science
N/A – Present
University of Sydney
Bachelor of Engineering (B.Eng.), Mechanical Engineering
N/A – Present
Maestro
Co-Founder & CEO
March 1, 2022 – Present
Alpha Strategy, LLC
Founder
September 1, 2021 – Present
Hawaii, United States
Genius Yield
Co-Founder & Chief Scientific Officer (CSO)
September 1, 2021 – March 1, 2024
Insight Softmax Consulting, LLC
Senior Data Scientist Consultant
May 1, 2021 – December 1, 2021
San Francisco Bay Area
Freenome
Senior Engineering Manager, Machine Learning
October 1, 2020 – December 1, 2021
San Francisco Bay Area
Freenome
Senior Machine Learning Engineer
March 1, 2018 – October 1, 2020
San Francisco Bay Area
Driver
Data Scientist
June 1, 2016 – February 1, 2018
Région de la baie de San Francisco, États-Unis
Skymind.io - Deep learning for Industry
Deep Learning Researcher
November 1, 2015 – May 1, 2016
Région de la baie de San Francisco, États-Unis
Galvanize Inc
Data Science Graduate Student
January 1, 2015 – January 1, 2016
Région de la baie de San Francisco, États-Unis
TU Berlin
Research Assistant
June 1, 2014 – August 1, 2014
Région de Berlin, Allemagne
McGill University
Computational Fluid Dynamics Design Engineer
September 1, 2012 – January 1, 2015
Région de Montréal, Canada
ELENGY - GDF SUEZ GROUP
Risk Analyst
May 1, 2012 – July 1, 2012
Région de Paris, France
Value Engineering Project with Schluter Systems and McGill University
September 1, 2014 – Present
Awarded 1st place in consulting engineering project. Working in a group of 5 engineering students, we were asked by Schluter Systems to evaluate and completely redesign the manufacturing process of the Kerdi Board U for mass production. As a result, we designed and proposed an all-new manufacturing line that improved product value in a cost effective way using optimization methods in Excel and AnyLogic manufacturing simulator to increase capacity from 400 to 200 000 units per year.
American Red Cross certified lifeguard
American Red Cross
June 24, 2026 – Present
International Baccalaureate Diploma
International Baccalaureate
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (genomics, DeFi, consulting, manufacturing) and roles (engineer, scientist, founder, CEO) indicates adaptability and a broad perspective. Their involvement in multiple startups and leadership positions suggests a preference for dynamic, high-growth environments. The target role of 'NLP Engineer' aligns with their 'Unstructured data and natural language processing' skill listed in their Galvanize education, but direct NLP project experience is not explicitly detailed, which could be a gap.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, entrepreneurial drive, and a history of working in fast-paced, innovative environments (startups, Y Combinator). Their experience in building and leading teams (Senior Engineering Manager, Co-Founder) suggests good operational fit for roles requiring initiative and strategic thinking. The project descriptions indicate problem-solving skills and a results-oriented approach.