About Sean Reynolds

Personal Qualifications

I bring to your company a deep expertise in innovative machine learning and software engineering. My experience spans high-level object-oriented programming to low-level embedded systems, with a strong grasp of electrical engineering and physics. This multidisciplinary understanding enables me to develop tightly integrated hardware-software solutions. I excel at collaborating across all skill levels, learning from experts, and mentoring peers. My background in machine learning, computer vision, and robotics equips me to contribute effectively to advanced technology projects.

Biographical Information

I am passionate about engineering and am a naturally analytical person which is advantageous. As a young child I was constantly taking things apart to see how they worked and fixing electronics that had broken, something that to this day I still do. At Hunter Engineering we created a new vision sensor which used lasers and cameras to scan the interior of the wheel and transmit the point clouds back to the PC. Once on the computer, I created algorithms for deciphering the pattern of dots even when there was missing or extra information in the image. Probabilistic learning algorithms were used to merge artificial intelligence and computer vision into a product for the company. I was a part of the product from initial conception through purchasing components through manufacturing and calibrations. When the company shipped the product it was a huge success. At Physna I helped customers find 3D parts using machine learning. I created a single shot search algorithm that was able to find 3D CAD models from a smartphone camera photo. A user could aim their smart phone at an object and search our database to see if they can find a model to 3D print. At TurbineOne I created a system that allowed a user to search for objects in videos or satellite images using only a text prompt. You could type in “ships” and it would label all the ships it found in an image for you. I enjoy creating products and would like to work for a group which is on the leading edge of research and development where I can contribute my determined resourcefulness to products, and achieve groundbreaking results. I excel at rapid prototyping by combining various technologies in innovative and creative fashions. We can help focus development to align with the companies vision by applying new technologies to improve products and team productivity together. Thank you for your consideration.

Education

  • M.S. in Computer Engineering: Washington University
  • Focus: Machine Learning, Computer Vision, Robotics
  • B.S. in Computer Science: Concordia University
  • Minor: Physics, Mathematics: Concordia University

Experience:

  • Locations: London UK, Kolkata India, Saint Louis USA
  • Engineering Experience: 20+ Years
  • Leadership Experience: 10+ Years

Machine Learning Expertise:

  • Developed systems for drones to detect crop diseases
  • Created generative AI for text-to-3D CAD object conversion
  • Implemented zero-shot object detection in drone feeds
  • Designed motor control algorithms for robotic learning
  • Developed single-shot search for 3D CAD and geometric data
  • Processed satellite images with tiling and recombination
  • Deployed object detection for camera phone images and video

Technologies:

  • Python, Pytorch, OpenCV, C++, SQL, Javascript, Swift, TensorFlow, three.js, Blender, Unity