Education
M.S. Computational and Mathematical Engineering
Stanford University, 2016
B.S. Electrical Engineering, Computer Engineering
University at Buffalo, 2012
Experience
Arthena - Co-founder, C.T.O.
January 2014 - Present
- Deployed quantitative strategies to predict the value of fine art in various pricing contexts.
- Built production, on-line, end-to-end optimized machine learning pipelines with Pandas, Numpy, Scikit, Tensorflow, Dagster, Postgres, etc. on GCP with Kubernetes.
- Designed micro-service architecture around: data collection, data integrity, feature engineering, research, strategy, backtesting, deployment, and reporting.
- YC Alumn. Worked on everything. Built a 16-person team. Operated company for 6+ years.
Skeptical Investments - Co-founder
April 2017 - Present
- Founded a micro-vc fund to throw token amounts of money at problems I find interesting.
- Created the InstaSafe. Fast, automated investment docs for YC companies.
Enveritas - Consultant
September 2016 - 2018
- Trained a model for the Brazilian Coffee Scenes Dataset with better than state of the art accuracy.
- Collected training sets on the ground in Uganda. Built dashboards to visualize work of surveyors using Flask, React, and D3.
- Performed supporting analysis to ensure data integrity using Pandas, t-SNE, SVM’s, and other techniques.
Zenysis - Consultant
February 2016 - March 2016
- Worked in Addis Ababa for the Ethiopian Ministry of Health and built data visualization tools in React and Flask.
- Ingested multiple databases with different alphabets, calendars, and without official spellings of geographic locations.
Matroid - Co-founder
July 2015 - January 2016
- Developed end to end machine learning pipeline to train visual classifiers from keywords using Node.JS, Express, Keystone, MongoDB, AWS, S3, Caffe, and other technologies.
- Received Series A term sheets for 20M+ valuations.
Planet - Missions Intern
June 2014 - January 2015
- Built models to improve image quality, signal to noise ratio, and dynamic range.
- Performed statistical analysis of image quality in Matlab and Python. Developed flight software in C++.
- Organized first hackathon, prototyped hardware, and designed and built photography equipment for rocket launches.
Planetary Resources - Avionics Intern
January 2014 - May 2014
- Developed simulations in Matlab for Attitude Determination and Control Subsystem.
- Developed processes for in lab testing and characterization of various subsystems.
- Assembled flight hardware in cleanroom.
Facebook - Intern
June 2013 - September 2013
- Developed software in python for automated testing of servers.
- Performed statistical analysis with R, HIVE to assist in triage of malfunctioning servers.
- Worked with vendors and ODM’s during triage to assist in risk mitigation.
SEDS-USA - At Large Board Member
October 2013 - October 2014
- Elected to Board of Directors of the USA’s largest student space advocacy group based on 5+ years of work with SEDS.
- Responsibilities included: organizational strategy, conference presentations, fundraising, special projects, promoting SEDS nationally and internationally, and photographing conferences.
UB Nanosatellite Program - Co-founder, Program Manager
October 2010 – June 2012
- Coauthored grant to build a multi-spectral imaging satellite as part of the AFRL University Nanosatellite Program.
- Lead a team of 60 students through satellite development life cycle. Served as a technical expert, acquired intimate working knowledge of satellite subsystems. Solicited funding through NASA, AFOSR, and several corporate sponsors.
Skills
Note: I think these sections are silly, but everyone seems to have one. Here is a *mostly* honest overview of my skills.
Selected Courses
AA 236A:
Spacecraft Design
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CME 212:
Advanced Programming
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CME 302:
Numerical Linear Algebra
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CME 303:
PDE’s of Applied Mathematics
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CME 304:
Numerical Optimization
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CME 305:
Discrete Mathematics and Algorithms
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CS 224d:
Deep Learning for Natural Language Processing
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CS 229:
Machine Learning
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CS 231n:
Convolutional Neural Networks for Visual Recognition
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EE 263:
Introduction to Linear Dynamical Systems
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EE 266:
Stochastic Control
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EE 278B:
Introduction to Statistical Signal Processing
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EE 364a:
Convex Optimization
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MAE 397:
Design Theory and Methodology
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MS&E 223:
Simulation
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MS&E 226:
Small Data
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CS 250:
Data Structures
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CSE 321:
Realtime Embedded Systems
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CSE 442:
Software Engineering Concepts
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CSE 453:
Hardware/Software Integrated System Design
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CSE 573:
Computer Vision and Image Processing
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CSE 590:
Computer Architecture
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EE 516:
Introduction to Digital Signal Processing
