nsgomez

Who I Am

January 2017–May 2019
Technologies Used: C, Bash, C++, Adobe Audition & Premiere

Served as a course assistant from Spring 2017 to Spring 2018, and as co-head teaching assistant from Fall 2018 to Spring 2019
Led teams of up to 15 other TAs and delegated tasks to them
Improved parts of the course's semi-automated submission testing infrastructure, which was written in Bash
Produced and co-hosted a YouTube channel with video reviews of lecture content

You can also read my teaching evaluations:
Spring 2017 Fall 2017 sec. 1 Fall 2017 sec. 2 Spring 2018 Fall 2018 sec. 1 Fall 2018 sec. 2 Spring 2019

Fall 2015–Spring 2019

Notable group projects I've worked on as an undergraduate student include:

autoMATic, a matrix manipulation language written in OCaml and LLVM
A machine learning library for C++ using the WG21 concepts draft
A weighted round-robin CPU scheduler for the Linux kernel to optimize Android app startup time
An FPGA implementation of an RCA 1802 CPU written in SystemVerilog
An HTTP/1.0 server written in C

Some projects may not have public repositories due to academic integrity guidelines. Please email me if you'd like more information on them.

December 2015; January 2018
Technologies Used: C, C++, x86 Assembly

Used Ollydbg to debug a reproducible null dereference crash in the game SimCity 4
Reverse engineered parts of the game to fix a serialization bug that would corrupt save files

June 2012–present
Technologies Used: C, C++

Obtained reference code for parts of SimCity 4's COM framework
Reverse engineered other parts of the framework to create a functional COM module
Documented structures in the game's API for potential developers

April 2016
Technologies Used: Python, Raspberry Pi, Dropbox API

Best Hardware Hack at HackNY's Spring 2016 hackathon
Created a threaded Python program for capturing picture streams and video
Configured a Pi A+ to roam open Wi-Fi networks to be able to upload most of the time
Experimental Twitch streaming implemented for kicks

Collaborative project with Ben Roytenberg, Claire Wang and Sascha Wu.

February 2016
Technologies Used: Python, Flask, SQLite, VirtualBox CLI

Inspired by xkcd comic #350
Used Python 2.x and avast! antivirus on images to track when a machine is infected
Used shared folders to automatically execute malware samples and model infections
Wrote a frontend using Flask to display state of machines and infections