Welcome to my website! I am a software engineer and data scientist. The website serves as my online resume, in addition to having some of my projects deployed.
Tech Stack used in building the website; AWS EC2, Nginx, GoLang, Python Microservices, and Javascript.
GPA: 3.8 - Graduated Summa Cum Laude
Developed new features and RESTful APIs using the Django framework. Migrated the codebase migration from Python 2 to Python 3 while maintaining backwards compatibility to allow upgrading of newer releases of Django.
Developed a regression model with uncertainty estimation using Pytorch topredict fueling patterns of drivers. Helped clients detect possible fuel consumption issues to decrease costs.
Developed Interfaces using C to connect a backend to many APIs forcredit card authorization. The interfaces used protocols, such as, HTTP, Telnet and WebSocket, and translatedbetween different formats, such as, XML, JSON,and bit fields
Developed a system in Python and C to transmit/receive data between multiple remote endpoints and a centralized backend in real-time via a publish/subscribe mechanism.
Developed a system using Python and Ansible to migrate away from physical hardware by generating virtual machine replicas of existing physical infrastructure. Decreased downtime from several hours to several minutes through redundancy and snapshot backups.
Developed a system using Python and Ansible to automate testing and deployment of new software revisions with a visual fronted implemented through Python’s buildbot.
Implemented a database fail-over system with a master database and multiple distributed slave databases. Developed a command line interface for internal use to switch database roles in case ofthe master failure. Decreased downtime from several hours to several minutes.
Analyzed data collected from the Large Hadron Collider using Python and C to support scientists’ research into High Energy Physics
A program to predict daily market sentiment for an input stock through a Naive Bayes model. Obtained online data for training and predicting through finnhub.io API and web scraping of multiple major financial news sources online.
A neural network that generates fake handwritten digits. The model is deployed to this website. Click on the title to go to the the interactive page.
Python, C, GoLang, Javascript, C++ (Prior Experience), Java (School Projects)
PostgreSQL, Redis
Git
Django, HTML5, CSS3
Linux, FreeBSD, MacOS, Windows
Ansible, Vagrant, Jails, Nginx, HAproxy
Tensorflow, Pytorch, Scikit-learn, PySpark
AWS