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Luis Enrique Avalos

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San Francisco, California, United States
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Résumé

Jobs verified_user 0% verified
  • Outlier.ai
    Software Engineer
    Outlier.ai
    Jun 2024 - Feb 2025 (9 months)
    • Architected and optimized AI model inference pipelines, reducing processing latency by 30% and improving model efficiency through quantization and parallelization techniques. • Developed and integrated scalable APIs for AI-driven functionalities, leveraging Google and YouTube APIs to enhance real-time data retrieval and content analysis • Led the development of automated evaluation scripts to track model performance across different datasets, using precision, recall, and F1-score metrics to guide iterative improvements.
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    Co-owner
    Avalos Drywall LLC
    Mar 2020 - Current (6 years 5 months)
    • Collaborated with contractors, ensuring effective communication. • Estimated materials needed accurately for projects. • Created accurate and prompt job site invoices.
Education verified_user 0% verified
  • Kennesaw State University
    Bachelor of Science
    Kennesaw State University
    Aug 2020 - May 2024 (3 years 10 months)
Projects (professional or personal) verified_user 0% verified
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    Low-Light Object Detection Enhancement
    Sep 2024 - Nov 2024 (3 months)
    • Developed an object detection pipeline optimized for low-light conditions by integrating image enhancement techniques such as Histogram Equalization, CLAHE, and Single-Scale Retinex with the YOLOv5m model. • Implemented a data preprocessing framework that maintains float precision for bounding box coordinates, ensuring accurate scaling and alignment between enhanced images and ground truth annotations. • Designed an automated visualization module integrated into the runtime environment to save and annotate enhanced images with detected bounding boxes, enabling continuous automated testing and real-time performance verification of the object detection system in low-light scenarios. • Evaluated detection performance using Precision, Rec
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    Diabetic Retinopathy Detection with ResNet50
    Aug 2024 - Oct 2024 (3 months)
    • Developed a binary classification model to differentiate between Diabetic Retinopathy (DR) and non-DR retinal images using transfer learning with the ResNet50 architecture. • Processed and augmented a dataset of 323 labeled retinal images from a dataset, enhancing model robustness and generalization through techniques such as resizing, normalization, and random transformations. • Implemented evaluation metrics including ROC curves and confusion matrices to assess and visualize model performance, ensuring reliable diagnostic capabilities.
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    Website Accessibility Enhancements
    Jan 2024 - May 2024 (5 months)
    • Implemented accessibility features such as screen reader voice navigation that works seamlessly with the screen reader, keyboard navigation with a red box indicating the current focus, Dyslexic font mode that replaces the website font, and color blindness modes. • Utilizing HTML, CSS, JavaScript, accessibility tools, and WordPress to implement inclusive features for individuals with disabilities • Collaborated with a nonprofit to improve website accessibility, ensuring compliance with WCAG standards