Adriel Molerio
Miami, FL 305-***-**** adyygh@r.postjobfree.com linkedin.com/in/adriel-molerio/
EDUCATION
Florida International University
Computer Science (Bachelor’s of Science)
Miami, FL
Aug. 2019 – Apr. 2023
● GPA: 3.8
● Awards: Magna Cum Laude
● Associations: INIT, Upsilon Pi Epsilon
SKILLS
Programming Languages: Java, C++, Python, C, Bash, JavaScript, Node.js, React, HTML, CSS, SQL Technical Skills: Linux, Linux Kernel Engineering, Red Hat Linux, Ubuntu Server, Gentoo Linux, Docker, UNIX, OpenBSD, File Sharing, pfSense, Network Engineering, Network Administration, Systems Administration, Systems Engineering, Calculus I, Calculus II, Discrete Mathematics, Machine Learning, Artificial Intelligence Languages: English (fluent), Spanish (fluent)
WORK EXPERIENCE
Molerio Electric Company
System Administrator
Miami, FL
Jan. 2017 – Dec 2018
● Oversaw a Server Tower running Fedora Server, managing SystemD services and distribution packages.
● Managed a Web Server partially using nginx as a Reverse Proxy and certbot for HTTPS connections on the company site, along with the Firewall for incoming connections.
● Established Docker containers for running the site and any other services that were on the local network.
● Established an online method of appointment reservation using a Reservio instance.
● Linked instance to a private Google Calendar and the website, improving the management and worker efficiency by 30%.
PROJECTS
Proxmox Node Jun. 2022 - Present
● Built a server that runs a hypervisor containing multiple virtual machines using Proxmox.
● Node serves as a Network Access Storage (NAS) running OpenZFS for a filesystem that the virtual machines can access using Network File Share (NFS) and SSH File Transfer Protocol (SFTP).
● Services hosted on the Node are Docker containers running within different virtual machines, organized based on if the service will be exposed to the Internet or not.
Housing Price Estimator Model Jul. 2022
● Python Machine Learning model trained on csv files from the Federal Reserve and Zillow in order to give an estimate on the cost of a house within an area.
● Based on the area given and house specs, the model will determine an average price as a result, and the user will determine if the price is a good estimate or not to further train the model.
● Model is based on a random forest model, and the frameworks used are pyplot, sklearn, pandas, and tensorflow.
Image Recognizer Jul. 2022
● Python Machine Learning Model with the purpose of being trained to properly identify dogs and cats when an image of either is fed to it.
● The user gives the model feedback as to whether it has a correct classification or not.
● Frameworks used are tensorflow, keras, pandas, and pyplot (using matplotlib).
LEADERSHIP EXPERIENCE
ShellHacks 2021 Miami, FL
Committee Member Jan. 2021 - Sep. 2021
● Committee member for Florida’s largest hackathon, with sponsors like Microsoft, Google, MITRE, Capital One, and more, with the intention of outreaching to students from different Universities across Florida.
● Reviewed code with students, assisted attendees in different ways, ranging from design suggestions for student projects to fulfilling any sponsored company needs.