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Summary

Jacob Alford is a mathematics major, full-stack developer, machine learning enthusiast, successful cryptocurrency investor, and professional photographer.  He graduated with an Associates of Science degree at New Mexico State University - Grants in 2016, and will graduate with a Bachelor's degree in Mathematics in Spring, 2020.  Most recently, he's devoted his time to Matrix_js, an all inclusive matrix library for Javascript emulating the ease of Tensorflow.js. 

Skills

JavaScript (ECMAScript2017)

Experience coding front-end websites, node.js applications, and p5.js.

PHP and SQL

Experience coding back-end server applications like user management and profile storage; with cryptographically secure hashing such as Argon2i.

Machine Learning and TensorFlow.js

Designed an assortment of multilayer perceptrons and studied long short-term-memory units (LSTM).

Information Technology

Designed Network Servers using Microsoft Group Policy, Remote Surveillance Servers, Apache Web Servers with PHP, VPN Tunneling Servers

C++

Designed a craps simulator for Intel International Science and Engineering Fair (Intel ISEF).  Recently re -familiarized with the underlying syntax structure.

Portfolio

SEBAL is an algorithm that calculates the relative soil saturation from a series of images; I use tensorflow for superior memory management and processing aptitude.  RPN stands for reverse polish notation - it's a really efficient calculator! My implementation can be found on my website.  Matrix_js is a javascript matrix library which emulates Tensorflow.js - namely its tidy method call stacking.

Work experience

2014-082015-05

Information Technician Intern

New Mexico State University

 

2012-07Present

Social Media Administrator

Ice Cave and Bandera Volcano
2015-082016-08

Mathematics Tutor

New Mexico State University

Education

2014 2016

Associate of Science

New Mexico State University