I am Luke, a software developer
in the Bay Area
whose goal is to bring tech into the

Next era

I am a Curious Web Developer using mainly React, Node, and Rails in the Bay Area. Interested in developing for a company that is optimizing Data Analytics, Data Collection Techniques, or AI. Currently developing a chatbot using React and PSQL that makes nutritional suggestions based on what you've eaten. In the past I studied Computational Linguistics, and used Support-Vector-Machines, Neural-Networks, Genetic-Algorithms, Naive-Bayes-Classification, p-tests, t-tests, and other statistical methods to analyze sentiment in text-samples from large datasets. My hobbies include researching algorithms and design philosophies for the next generation of AI. Additionally I have an English Degree from SFSU, which helps conceptualize and quickly develop solutions to abstract problems

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Recent Work

IMAGE-TO-HTML (Javascript, CanvasHTML5) | Sole Developer

Live | Github A computer vision app built with JS and Canvas that analyzes an image file to generate a webpage that looks like design documents. The purpose of this app is to make a website quickly from a photo of a design document. Wrote a custom flood-search algorithm that divides an image file into quadrants then uses a pivot algorithm that performs statistical sampling of pixels to determine likelihood of belonging to a specific image feature.

STACKINFERNO (Rails, ReactJS, Webpack, Javascript, PostgreSQL) | Sole Developer

Live | Github A literary spinoff of StackOverflow using Rails for the database management system and React for the frontend UI. Rails aggregates and orders user’s questions, comments, and answers to discuss Dante Alighieri’s epic poem The Divine Comedy. Generated Example users and user posts using algebraic logic, regular expressions and random numbers to format every sentence of Dante Alighieri’s Divine Comedy into 9000 Unique database entries spread across 15 postgreSQL database tables

SMART KITCHEN (ReactJS, Webpack, NodeJS, MongoDB, Webkit, Express) | Team: Surrendan, Mitchel, Yip, Dreyer

Live | github A voice-recognition enabled single page web-app that suggests what to cook based on what you have in your fridge. Streamlined development with Webpack and babel to transpile the latest ECMA features for cross Browser Functionality for a faster build phase with easier to read code. Discussed reviewed and deployed a slick UI with seamless frontend navigation browser-data persistence, and flexible recipe search matching. Utilized MITs REACT speech component webkit api extension to consistently deliver voice-enabled recipe searching.

Flying Fish | Solo (Unity3D)

Live You're in an aeroplane and the skies are clear -- until a bunch of flying fish appear on the horizon! Dodge the flying fish or go veering out of control! How long can you fly?

Experimental Chatbot

Live Design custom chatbots using Node, Express, Sqlite3, CSS, and HTML. The Chatbot Api is hosted on an AWS ec2 instance where word frequency data is stored in a sqlite3 4-table database.

Coming Soon

github FoodMonk is a nutritional chatbot developed with NodeJS, sqlite3, Rails, Postgresql, ReactJS, ExpressJS, Android, Java, C, and IOS native that suggests what to eat based on what you've eaten.

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