Experience
TheBeastShop - Lead Android Developer
October 2020 - 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.
FrontEnd e-Commercial - Android Developer
April 2018 - September 2020
- 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.
Hikvision - Product Engineer
September 2017 - April 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.
Hella - Product Failure Analysis
February 2016 - September 2017
- 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.
Valeo - Project Quality Engineer
July 2011 - 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.
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
CME 212:
Advanced Programming
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MAE 397:
Design Theory and Methodology
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AA 236A:
Spacecraft Design
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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 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 278B:
Introduction to Statistical Signal Processing
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EE 364a:
Convex Optimization j
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CS 224d:
Deep Learning for Natural Language Processing
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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 266:
Stochastic Control
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EE 516:
Introduction to Digital Signal Processing
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MS&E 223:
Simulation
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MS&E 226:
Small Data
