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Antonio L. AI, Computer Vision and Deep Learning Platforms

My name is Antonio L. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Object Detection, Object Detection & Tracking, Image Processing, Artificial Intelligence, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Science (MS). Some of the notable projects I've worked on include: Real-Time Retail Customer Behavior Analytics Platform, Soccer Game Analysis System, Interactive Local Image Segmentation Tool Using Ultralytics SAM2, Squash Game Analysis System. I am based in Tijuana, Mexico. I've successfully completed 4 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Computer Vision and Deep Learning Platforms

    2 years

  • Computer Vision

    1 Year

  • Object Detection

    1 Year

  • Object Detection & Tracking

    1 Year

Additional skills

  • Computer Vision
  • Object Detection
  • Object Detection & Tracking
  • Image Processing
  • Artificial Intelligence
  • Software Development
  • Data Annotation
  • Business Plan
  • Algorithm Development
  • YOLO
  • PyTorch
  • TensorFlow
  • Deep Learning
  • Machine Learning

Direct hire

Potentially possible

Previous Company

Nola

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Experience Highlights

Real-Time Retail Customer Behavior Analytics Platform

This project developed an AI-powered video analytics platform that captures and analyzes customer behavior in retail stores in real-time. The system uses computer vision to detect individuals, estimat

Soccer Game Analysis System

The Soccer Game Analysis System is a computer vision prototype designed to automate the detection, tracking, and mapping of soccer players using YOLOv8 and advanced homography techniques. The system c

Interactive Local Image Segmentation Tool Using Ultralytics SAM2

This tool employs Meta’s SAM2 model integrated through Ultralytics to achieve precise object segmentation locally. Built with a Tkinter GUI, the application enables users to input positive and negativ

Squash Game Analysis System

The Squash Game Analysis project utilizes a computer vision system to track and analyze squash players from video feeds. Leveraging YOLO object detection, the system identifies player movements, calcu

Education

  • CETYS University Tijuana

    Bachelor of Engineering (BEng) in Mechatronics

    2016-01-01-2020-01-01

  • Center for Research and Advanced Studies of the National Polytechnic Institute

    Master of Science (MS) in Computer Vision

    2021-01-01-2023-01-01

Languages

  • English (Fluent)✓
  • Spanish (Native or Bilingual)