Joaquin Carretero Martinez

CEO

Sunnyvale, California, United States6 yrs 11 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Founder of AI-driven ExamAi platform.
  • Expertise in AR/VR and GenAI technologies.
  • Proven track record in securing substantial funding.
Stackforce AI infers this person is a SaaS and AI/ML expert with strong capabilities in AR/VR development.

Contact

Skills

Core Skills

Full-stack DevelopmentAi/ml IntegrationSoftware InfrastructureSoftware DevelopmentCloud AutomationNeural NetworksHardware Validation

Other Skills

iOS DevelopmentSwift (Programming Language)SeleniumUser Interface (UI) DesignImage RecognitionPython (Programming Language)Database ManagementFlutterDartLeadership & Team ManagementProgram ManagementProject ManagementCloud InfrastructureGoogle Cloud Platform (GCP)Firebase Firestore

About

Hey guys! My name is Joaquin (Quino for my friends). I am a Software Engineer based in the San Francisco Bay Area. My passions are Augmented Reality, GenAi, and 3D Printing! Over the 7 years, I have shaped my career path anywhere from Software/Hardware Automation to full-stack development of AR/VR and GenAi platforms. I recently took a year off to work on my own startup, AR Museum, and get a Master's in Business Analytics from UC Davis with hopes of gaining the knowledge I need to launch businesses at a large scale, focusing on Business impact. I'm a friendly individual who loves giving career advice and getting involved in making startups from an idea to launch! www.miniquinox.com

Experience

6 yrs 11 mos
Total Experience
1 yr
Average Tenure
1 yr 5 mos
Current Experience

Google

Full Stack Software Engineer

Mar 2025Present · 1 yr 3 mos · Mountain View, California, United States

Examai

Founder & CEO

Jan 2025Present · 1 yr 5 mos · San Francisco Bay Area

  • 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.
  • Led the technology team, overseeing 6 engineers and 4 designers.
  • 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.
iOS DevelopmentSwift (Programming Language)Software InfrastructureSoftware DevelopmentSeleniumUser Interface (UI) Design+15

Apple

Software Automation Engineer

Jul 2024Jan 2025 · 6 mos · Cupertino, California, United States

  • Developed macOS applications using Swift and SwiftUI to control serial devices, including spectrometers, for scientific and hardware-driven workflows.
  • Engineered scientifically accurate spectral processing scripts in Python and Swift, leveraging spectral math to analyze and process light data from 25 spectrometers in parallel efficiently.
  • Implemented advanced spectral graphs and real-time voltage plotting from Arduino, enabling precise visualization of sensor data.
  • Built automated systems that trigger scripts based on photodiode signals, streamlining measurement workflows and ensuring reliable real-time hardware performance.

Meta

2 roles

Lead Software Automation Engineer

Promoted

Aug 2022Aug 2023 · 1 yr · San Francisco Bay Area

  • 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 (FDM, SLA, MJF).
  • Automation of AR/VR headsets, Android devices (using 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.
Blender PythonRobot FrameworkBlenderiOS DevelopmentLinuxGitHub+16

Software Automation Engineer

Jan 2022Sep 2022 · 8 mos · San Francisco Bay Area

Software Infrastructure

L&t technology services

Full Stack Automation Engineer

Mar 2021Jan 2022 · 10 mos

  • IOT Automation Engineer Consultant at Signify Phillips and Halliburton
  • 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.
Robot FrameworkLinuxGitHubSoftware InfrastructureSoftware DevelopmentHardware Validation+8

Uniquify inc

Machine Learning Engineer

May 2020Feb 2021 · 9 mos · San Jose, California, United States

  • 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.
Neural NetworksDataset ManagementCUDAKeras (Python Library)LinuxSoftware Infrastructure+7

Aspen avionics

Software Engineer

May 2019May 2020 · 1 yr · Albuquerque-Santa Fe Metropolitan Area

  • 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.
C++ (Programming Language)LinuxSoftware DevelopmentHardware ValidationBash (Programming Language)C (Programming Language)+3

The university of new mexico

Python Instructor

Jul 2018May 2019 · 10 mos · Albuquerque-Santa Fe Metropolitan Area

  • 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.
LinuxBash (Programming Language)Shell ScriptingPython (Programming Language)

Education

University of California, Davis

Master of Science - MS — Business Analytics

Aug 2023Jun 2024

University of New Mexico School of Engineering

Bachelor's degree — Computer Engineering

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