About me

Hey, I’m Quino! I’m a full-stack developer who’s all about building cool AI apps and automating anything I can. I recently left Apple to go all-in on ExamAi, the company I founded to make grading easier for professors with AI—saving them time and giving students better feedback.

Before this, I was a Software Engineer Lead at Meta, where I led projects that automated hardware testing and made internal systems run smoother. I’ve always been the kind of person who loves building stuff that actually helps people. Over the years, I’ve worked on everything from AR museum exhibits to designing 3D-printed phone cases, and even writing stock trading bots—because why not?

When I’m not working on ExamAi, you’ll probably find me tinkering with a side project, 3D printing something random, or just coding for fun (check my GitHub—yeah, I’m that guy). I love bringing ideas to life through tech, and I’m always excited about what’s next.

  • Miniquinox's Github chart
  • What i'm doing

    • mobile app icon

      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.

    • Web development icon

      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.

    • design icon

      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.

    • camera icon

      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

    • Emily evans

      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."

    • Jessica miller

      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 Hyde

      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."

    • Henry william

      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

    1. University of California, Davis

      2023 — 2024

      Highlighted Coursework: Data Management, Advanced Statistics, Big Data, Cloud Computing, Machine Learning

    2. 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

    1. Full Stack Software Engineer @ Apple - Cupertino, CA

      June 2024 - Current

      Creating Automation tools for Apple Camera Labs.

      • Creation of MacOS apps using Swift and SwiftUI to control serial devices including spectrometers.

      • Python and MatLab scripting to integrate parallel executions of camera tests (Android and IOS).

      • Image Quality testing of Camera systems using Python, Azure Cloud Functions, and CI/CD Pipelines.

      • Implementation of 3D frameworks to automate Camera creation to specification using Blender Python, MatLab, Zemax, and Swift, creating and iterating through AR/VR scenes.

    2. Lead Software Automation Engineer @ Facebook (Meta) - Sunnyvale, CA

      January 2022 - August 2023

      Leadership over Software Engineering Support team part of Meta Reality Labs.

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

      • 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.

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

      • Built Camera Imaging Simulators to simulate hardware sensors and lenses before it was available.

      • Developed Camera tests for image data collection for Meta Ray-Ban Smart glasses.

    3. Founder & CEO @ ExamAi.ai - Sunnyvale, CA

      February 2023 – Dec 2024

      Development of Artificial Intelligence SAAS Platform for Automated School Grading.

      • Secured $150,000 in credits from Microsoft and $350,000 from Nvidia to support the launch of ExamAi.

      • Developed the AI SAAS platform end-to-end, resulting in $1.6M in seed funding from investors.

      • Led the technology team, overseeing 6 engineers and 4 designers, focusing on System Optimization.

      • Created a two-year growth strategy and assigned its execution to an 8-person business team.

      • Built tools to support expansion, including an AI-driven system generating 10,000 automated emails and a comprehensive salary database for U.S. colleges, and automated data visualization dashboards.

    4. Full Stack Automation Engineer @ LTTS (Signify Phillips & Halliburton) - San Francisco, CA

      April 2021 - 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 Frac web application.

      • Full-Stack Hardware/Software Automation testing of Wireless Area Connectors made by Signify Phillips.

    5. Machine Learning Engineer @ Uniquify - San Jose, CA

      May 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 PyTorch, 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.

    6. Software Engineer @ Aspen Avionics - Albuquerque, NM

      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.

    7. Python Instructor @ University of New Mexico - Albuquerque, NM

      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.

    My skills

    • Python
      - 7 years
    • Dart & Flutter
      - 2 years
    • Swift
      - 2 years
    • C
      - 2 years
    • R
      - 2 years
    • C++
      - 2 years
    • SQL
      - 2 years
    • Selenium & Robot Framework
      - 5 years
    • Blender
      - 3 years

    Portfolio

    Blog

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