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Hi, I'm Kevin πŸ‘‹

I'm a computer scientist and software engineer by education, graduating with a B.S. in Computer Science from Cornell University's College of Engineering. I've spent the last year building products on founding teams including Arlo (we're hiring!) and CogBase.

Before that, I spent 5+ years working at Palantir helping the world's most important institutions solve their hardest data problems. I've been fortunate enough to work in a hugely diverse range of industries, including Oil & Gas (BP), Automotive Manufacturing (Stellantis – Formerly FCA), Financial Services (Fiserv – Formerly First Data), National Defense (U.S. DOD), Telecommunications, and Aviation. I've worked in Business Development as both a technical and strategic individual contributor, led an enterprise contract, converted new deals, and managed large teams internally and externally with our customers.

I'm in a uniquely leveraged position to contribute in my next venture, thrive in the unknown, tackle impossible problems, and bring cross-functional knowledge including:

  1. A deep understanding and empathy of end users' problems.
  2. The ability to communicate, scope, and lead teams toward clear requirements.
  3. The technical skills to bootstrap and execute on solutions extremely quickly.

I'm looking for somewhere I can have outsized impact in product, engineering, and business strategy at an early stage company employing technology to revolutionize society's approach to historically messy problems.

Outside of work, I build open-source software, most notablyΒ Mintable, a free tool which to manage & automate personal finance analysis with no ads or data collection. I'm an avid cyclist / runner / skier, road tripper, and podcast fan; I dabble with guitar & producing electronic music. 2023 goals include a century (100-mi) bike ride and a half-marathon. Talk to me aboutΒ photography,Β personal finance, your morning Chemex routine, cars (& Top Gear), or your favorite cold open on The Office.

Kevin Schaich's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-spark icon awesome-spark

A curated list of awesome Apache Spark packages and resources.

billboard icon billboard

🎀 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

dagster icon dagster

An orchestration platform for the development, production, and observation of data assets.

debt icon debt

πŸ’Έ Scale of the U.S. National Debt in 2016

deck.gl icon deck.gl

WebGL2 powered visualization framework

dejavu icon dejavu

Audio fingerprinting and recognition in Python

dotfiles icon dotfiles

πŸ–₯ Shell, terminal emulator, editor, and OSX setup.

f1-circuits icon f1-circuits

A repository of Formula 1β„’ circuits in GeoJSON format.

flask-redis-queue icon flask-redis-queue

Example of how to handle background processes with Flask, Redis Queue, and Docker

gapi-client icon gapi-client

πŸ—Ί A very thin wrapper for Google's client-side javascript V3 API

h3 icon h3

Hexagonal hierarchical geospatial indexing system

h3-pyspark icon h3-pyspark

PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

homebrew-cask icon homebrew-cask

🍻 A CLI workflow for the administration of macOS applications distributed as binaries

maccess icon maccess

πŸ–₯️ Easily access your home network, Mac, and files remotely using DDNS, OpenVPN, SMB, and VNC.

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