Blake Whitman

Hi! I am Blake Whitman–my primary interests include embedded systems, product engineering, quantitative finance, and high frequency trading. I received degrees in CS and Math from Ohio State University in 2023 and have worked for companies including JPMorgan Chase and Coinbase.

I am currently a software engineer at JPMorgan Chase.

Projects

• SmartRecipes — SmartRecipes takes in a list of ingredients from users and displays all possible meals that can be made with those ingredients. Similarity matching is used to show users which meals can be made if other ingredients were to be added, as well as the optimal recipes based on their ingredients on hand. See the GitHub and Devpost links for a more detailed description of the project and its functionality. (Flask, Elasticsearch, React, PyMongo, MongoDB, CSS, HTML)
• MindScape — A flexible AI-powered educational tool, built to serve our users in any learning goals they have. Catered to their tested learning styles, we parse uploaded materials to teach dynamic lessons (Flask, OpenAI, GPT-3, Whisper, React, MongoDB, CSS, HTML)
• IntelliTrack — Uses machine learning to predict future top performing medical assets based on prescription statistics (scikit-learn, React, Next, Tailwind, Flask, SQLite)

Articles

• Empirical Analysis of Queuing Theory on Transit Data
• Polar Convex Programming: A New Paradigm for Nonlinear Optimization
• Nation State Threat Actors and Advanced Persistent Threats
• View all

My Library

• Introduction to Algorithms (CLRS)
• Moneyball (Michael Lewis)
• Astroball (Ben Reiter)
• Scorecasting: The hidden influences behind how sports are played and games are won (Tobias J. Moskowitz & L. Jon Wertheim)
• Linear Algebra Done Right (Sheldon Axler)
• Freakonomics (Steven D. Levitt & Stephen J. Dubner)
• Super Freakonomics (Steven D. Levitt & Stephen J. Dubner)
• Flatland (Edwin A. Abbott)
• Imagining Numbers (Barry Mazur)
• Outliers (Malcolm Gladwell)
• View all