Joaquin Carretero - Personal Portfolio

About me

Hi, I'm Joaquin (or Quino to my friends)! I'm a software engineer who loves mixing automation with emerging tech like AR/VR and 3D printing. For example, I'm currently developing an augmented reality app for a virtual museum exhibit. I also design 3D printed phone cases and write programs that automate stock trading for fun.

Throughout my career, I've looked for roles where I can make an impact. As a Software Engineer Lead @ Meta, I led automation initiatives that improved hardware testing and streamlined internal systems. I find it fulfilling to create solutions that benefit the organization. I'm passionate about using my skills to build innovative tech and help others. In my free time, you can often find me tinkering on my latest automation or 3D printing project! I love bringing ideas to life through code. And yes, I code everyday for fun as you can see in my GitHub chart below!

What i'm doing

Building Augmented Reality Apps

Currently using Flutter and ARKit to build an Augmented Reality Museum App that encourages art lovers to use technology in public spaces and experience art in new ways. My startup has been submitted to YCombinator.
Automating the Stock Market

Using Python, Selenium, and several APIs, I created a framework that uses the famous Black Scholes algorith and adds Machine Learning training to predict the price of a call the next morning when the market opens.
Exam Ai Platform

I am making a platform that will allow professors to grade students hand-written exams/quizzes instantly by using Computer Vision libraries to translate handwriting into text, and feeding such text to an API based GPT4-Turbo model that will grade submissions based on the professor's criteria. Such platform will have data analytics to help the professor know where students lacked the most.
Photography

As a Professional Photographer, I shoot with a Sony A7IV. My lens of choice is a Sigma 50mm f/1.4 which i use mostly for portraits! At Meta, I worked in the Camera Research organization making proprietary imaging algorithms to optimize the best Field of View for a small sized camera that later on was implemented in the 2023 RayBan Stories.

Testimonials

Shobhit S.
System Validation Engineer @ Meta

"I worked alongside Joaquin at Meta, where we performed System Validation of the Ray-Ban Smart Glasses together. Joaquin is an automation whiz - he can take any manual process and develop scripts to optimize it in no time. He generously shares his expertise and constantly looks for ways to level up our team's technical capabilities. It was always exciting to collaborate with Joaquin on projects."
Dhana N.
Manager @ Signify Phillips

"I had the pleasure of managing Joaquin at Signify Phillips. He is highly skilled in test automation and rapidly developed frameworks that accelerated our processes. Joaquin has an impressive ability to quickly learn and master new technologies. He delivered high-quality work, and I hope to collaborate with him again in the future."
Erick H.
Engineer Manager @ Meta

"Joaquin is an exceptionally talented software engineer. At Meta, he led critical automation initiatives that improved our testing workflows and boosted efficiency. Joaquin is passionate about creating technological solutions that benefit the organization, and his drive to innovate made him a true asset to the team."
Kelli S.
Recruiter @ Aditi Consulting

"As the recruiter who helped Joaquin secure his role at Meta, I saw firsthand what an asset he is. His depth of knowledge and passion for automation and emerging tech is impressive for someone so early in his career. Joaquin has a creative vision for how technology can solve problems and the engineering talent to make it happen. He raised the bar for our team."

Previous Experience

Resume

Education

University of California, Davis
2023 — 2024
Highlighted Coursework: Data Management, Advanced Statistics, Big Data, Cloud Computing, Machine Learning
University of New Mexico
2016 — 2020
Highlighted Coursework: SQL, Unity, Mathematics, Computer Logic Design, Probabilistic Methods, Algorithms, Signals and Systems, Operating Systems, Circuit analysis, Electronics, Computer Vision, Optical Photography.

Experience

Founder & Lead Software Engineer @ Optimiz3D (AR Museum)
February 2022 — Current
Development of Augmented Reality App in Pre-Seed Stage.

• Leading a full stack cross-functional team to create an AR app for Android, IOS and VisionOS from UI Designs to Cloud Automation and Database Management using Python, Dart & Flutter, and swiftUI.

• Implementation of Apple ARKit and Google ARCore frameworks with Image Recognition, Object Occlusion, and Location anchors to support textured animated 3D models in USDZ, GLB, and GLTF format. Tools include Unity, Blender, and Unreal Engine 5.

• UI/UX design using Figma and creation of internal API to retrieve 3D models in real time.
Software Engineer Lead @ Meta
January 2022 — August 2023
Leadership over Software Engineering Support team part of Meta Reality Labs.

• Software & Hardware Validation using Python and full stack development of Internal Equipment Control mobile app using Flutter, Dart, Swift and Python.

• Managed Reality Labs internal Networks and established a 3D printing lab, saving $300k+ annually with CAD Rapid Prototyping, 3D scanning, and diverse 3D printing techniques.

• Automation of AR/VR headsets, Android devices (ADB), Linux DevServers, and Network Hosts.

• Implemented Camera Imaging Simulators in several Multi-GPU Cloud services such as GitHub Actions with AWS EC2 Containers to reduce costs from $1,051,200 to estimated $14,600 per team per year.

• Research of Camera frustums and Fields of view by creating a 3D automation workflow using Blender Python and CUDA (Nvidia GPUs) for Optical Camera Imaging simulations to create 1M+ GLTF scenes.
Software Engineer @ LTTS (Signify Phillips & Halliburton)
April 2020 — January 2022
IOT Automation Engineer Consultant for Consumer Electronic Devices and Petroleum Extraction Equipment.

• Created automation framework for engineers to test Front-End and Back-End using process parallelization with Python, Selenium, Robot Framework, and Mosquitto API (MQTT).

• Front-End Automation by web scraping to test web elements in Halliburton web application.

• Full-Stack Hardware/Software Automation testing of Wireless Area Connectors made by Signify Phillips.
Machine Learner Engineer @ Uniquify
October 2020 — March 2021
Research of Convolutional Neural Networks used for classifying images at large scale.

• Wrote production level Python code, trained, and fine-tuned Deep Learning Neural Networks (mostly CNNs) with Machine Learning frameworks such as TensorFlow, Numpy, CUDA, and OpenCV. Model GPU computing using multiple Nvidia graphics cards.

• File management scripting with Python in UNIX/Linux environment via ssh connection to build and organize neural networks on several datasets such as ImageNet, CIFAR10, MNIST, COCO2017, etc.

• Recreated TensorFlow from scratch to build a proprietary library faster and more efficient, implementing Keras with newer versions of famous models like VGG16, Resnet50, Inception and DenseNet.
Software Engineer @ Aspen Avionics
May 2019 — May 2020
Quality Assurance and Software Automation of Avionics Hardware equipment.

• C and Python code review and documentation of test requirements. Assisted with test/validation, software identification, Code Coverage, and requirements checks.

• Developed code verification by analysis procedures for a DO-178 B Level C project, using Python, C, C++, Shell, and Bash and interacting with hardware for tests.

• Script automation with Python and Bash to run multiple programs sequentially as well as file management automation.
Python Instructor @ University of New Mexico
July 2018 — April 2019
Python instructor through the University of New Mexico at Washington and Polk School in Spanish and English to bilingual students.

• Coursework taught: Python, Object Oriented, Functions, Libraries, Pyplot, etc.