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Ryan W. West Ryan W West * Blog * Research * Projects * About * Resume * CodexWest RYAN W WEST Research Scientist · Infrastructure, Security, Data LATEST POSTS Posts on Software Engineering & Research 1. 8 STEPS TO BUILDING A MICROSERVICE AFTER BEING INVOLVED IN THE DESIGN OF SEVERAL MICROSERVICES, I'VE DETERMINED THAT THERE ARE EIGHT STEPS I TYPICALLY FOLLOW Dec 9, 2019 2. WHY QUALTRICS WHAT I LIKE ABOUT WORKING AT QUALTRICS - REPOST FROM QUALTRICS' BLOG Dec 2, 2019 View All Posts → RESEARCH & PUBLICATIONS SIMULATING MUNICIPAL CYBERSECURITY INCIDENTS PAPER (HICCS'21 CONFERENCE PAPER) (LINK) Presents recommendations for designing realistic cybersecurity simulations for professionals to obtain impactful learning outcomes SURVEY OF BLOCKCHAIN CONSENSUS ALGORITHM SCALABILITY PAPER Compares how well various consensus algorithms allow blockchain networks to securely scale with increased traffic volume HYPERLEDGER ARIES CONNECTION PROTOCOL RFCS These describe open-source algorithms to securely connect clients in order to create/transmit verifiable digital credentials View my ResearchGate profile PROJECTS FIRST PLACE HACKATHON PROJECT: AMAZON BUDGETING CHROME EXTENSION The Fiber Chrome Extension was our entry for the 2019 Intern Hackathon at Capital One. The project won first place against 540 interns. The extension aims to improve online shopper's financial literacy by integrating their personal budget data and credit card usage directly into Amazon's product pages and providing warnings and recommendations when getting close to their limits. It also changes prices to include sales tax. Get it on Github BANG! IN C# As a personal side-project, Implemented a Bang! card game emulator using Monogame's framework in C#. Up to six computer players play against each other to be the last one standing. AI is used to intelligently choose the most benefial moves for each player. For example, weaker players will be targeted first. See it on Github. GUTENBURG BOOK GENRE CLASSIFICATION Used five machine learning models and natural language processing in Python (scikit-learn, nltk) to predict the genre of a given classical book. The corpus was obtained from the public-domain texts provided by Project Gutenburg. Using a random forest ensemble, we were able to consistently achieve over 80% accuracy on classification. For details, view our research report. See it on Github FAMILY TREE APP Built a basic family tree web server in Java, where a user can register and store family tree generation for later use. Designed an Android app that syncs with the server over HTTP and lets the user explore their family data with a map. The server uses a SQLite Database to store ancestral information, such as life events, parentage, and children. PIPELINED MIPS PROCESSOR Used the Verilog Hardware Design Language to design a pipelined, forwarding single-instruction processor using the MIPS Instruction Set Architecture. Worked with Xilinx's Vivado hardware design suite to download the soft processor onto a Xilinx FPGA. View it on Github NEURAL NETWORK LECTURE I collaborated with other students to produce and give an hour-length lecture on neural networks to an algorithms CS class. CHINA STUDY ABROAD In May and June of 2017, I went on a engineering study abroad to Guangzhou, China. We toured several major engineering facilities such as Cisco and Quanta (where Macbooks and Lenovo products are produced), and learned about their engineering and business models. While there, we worked with Chinese students and took additional courses on leadership, eastern religion, and Chinese culture. ABOUT I founded CodexWest which offers source code review and R&D consulting for technical legal cases and companies. I'm also the Director of Engineering at Crimson Vista and have a passion for learning new things. In addition to my job, I'm working towards a Ph.D in Computer Science, focusing on 5G mobile networks and decentralization. While I love all things computers, I'm particularly interested in blockchain, security, DevOps, the Fintech space, infrastructure, and open-source software. I enjoy solving hard problems and do technical consulting full-time. If you need help in areas such as architecture, security, data, or networking, feel free to reach out. RANDOM FACTS * I'm very interested in Personal Knowledge Management (PKM) - both in archiving and using your personal data (I use and develop plugins for obsidian.md) * I love to learn! Especially on Goodreads 📖 * Piano is my jam 🎹 Here's my favorite piece to play * I'm obsessed with trying new salsas, it's a hobby * Skiing, racquetball and ping-pong are my favorite sports 🏓 * I'm a proud eagle scout 🦅 * View My Resume