About Me

  • Full Name:Aaron Wayne Manuel
  • Phone:+1 918 510 2076
  • Email:aaronmanuel15@gmail.com
  • Location:Tulsa, OK

Hello There!

Fueled with a love for experiences and learning, I am a person who is passionate about technology, research, and continual improvement. Formally educated in the realm of mathematics, I have a strong foundation in the fundamentals of problem solving and critical thinking.

As a professional, I have worked across the US and in Germany. However, I originate from and reside in Tulsa, OK. Growing up in the midwest kept me in consistent exposure to the energy sector. This exposure gave me the opportunity to work in the Catalysis Industry where I developed my passion for research and technology as an Automation and Controls Engineer. With the pandemic playing its part in all of our lives, I was given the opportunity to add to my experiences of which I did so by enrolling at Holberton Tulsa with the intention of becoming a Machine Learning Engineer. I will graduate in December of 2023 and am currently looking for the right door to walk through.

As a person, I am an avid hiker, backpacker, and kayaker. I truly enjoy being able to balance my exposure between the outdoors and technology as I believe my personal growth is most efficient with this recipe. I have backpacked over 1800 miles in many places across the US and South America which has given me a broader perspective on life and the world. This perspective has helped me to develop a strong sense of who I am and the confidence to pursue my dreams.

My Resume

  • Work Experience

  • Student Tutor

    Holberton School Tulsa - 2022 - Current

    Conducted 2 live coding sessions per semester over various software development tools, languages, and concepts to an 80+ student audience.

    Provided 10 hours of in-person support per week covering coursework in BASH /C / Python / MySQL / JavaScript / etc.

  • Automation & Controls Engineer

    Umicore Autocat USA Inc - 2015 - 2022

    Designed and built reactor test equipment for the study of Automotive Catalysis.

    Performed custom test procedures in a Class I Div II room and maintained ISO9001 compliance.

    Recorded and provided analysis on research data created by this testing equipment.

    Headed capital projects from conceptual design through startup, including cost estimation and purchasing.

    Tuned industrial controls systems to tolerances required by internal and external clients.

  • NCS Specialist II

    Paycom Payroll LLC - 2014 - 2015

    Onboarded new clients to Paycom’s payroll software, including data entry, training, and troubleshooting.

    Provided technical support to clients and internal employees on Paycom’s software.

    Assisted clients in running and optimizing their payroll processes.


  • Education

  • Diploma in Computer Science and Machine Learning

    Holberton School Tulsa - 2022 - 2023

    A 20 month, full-time curriculum focusedon a peer learning environment with awide range of coding foundations and Machine Learning projects.

  • Bachelors of Science

    University of Science and Arts of Oklahoma - 2010 - 2013

    Focus in Applied Mathematics.

    • Minor - Physics
    • Minor - Liberal Arts

Skills

Python95%

Numpy90%

EDA80%

Pandas85%

Tensorflow75%

C70%

PLCs80%

Project Management75%

School Articles

Throughout my time at Holberton, I have written some articles to summarize topics covered in my education. Most of these are simple in theory but prove my ability to learn new concepts and speak on them in general. If you would like to take a look, they are available below.

2023

ImageNet Classification with Deep Convolutional Neural Networks

This journal article covered the implementation and results of a Convolutional Neural Network trained on a subset of images from the ImageNet dataset used in the LSVRC-2010 contest.

2023

Experimental Process of Using Transfer Learning to Build a Model for Classifying CIFAR 10

This short post covers my first exploratory attempts at utilizing Transfer Learning with the intent of forming a model that solves the CIFAR10 dataset.