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Waylon F. AI, Machine Learning and Data Science Platforms

My name is Waylon F. and I have over 9 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Computer Vision, Classification, Natural Language Processing, Python, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: weblas, Fast Image Recognition in a Browser. I am based in Edmond, United States. I've successfully completed 2 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Machine Learning and Data Science Platforms

    9 years

  • Machine Learning

    5 Years

  • Computer Vision

    5 Years

  • Classification

    3 Years

Additional skills

  • Machine Learning
  • Computer Vision
  • Classification
  • Natural Language Processing
  • Python
  • TensorFlow
  • Data Science
  • Data Science Consultation
  • PyTorch
  • Deep Learning
  • Object Detection
  • Neural Network
  • Convolutional Neural Network
  • Artificial Intelligence
  • OCR Algorithm

Direct hire

Potentially possible

Previous Company

Tailwind

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Experience Highlights

weblas

Browsers aren't faster enough to do machine learning without a server. This open source project uses the GPU make machine learning and neural networks running a browser a reality. No server require.

Fast Image Recognition in a Browser

Correctly identifies image contents in less than half a second. Reduces server side cost by 10x, and increases browser side processing speed by 100x, without sacrificing accuracy. I wrote the part t

Education

  • University of Oklahoma

    Bachelor of Science (BS) in Physics, Mathematics

    2001-01-01-2005-01-01

Languages

  • English (Native or Bilingual)