Hadi Kiapour

Head of Computer Vision at DawnLight
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
San Francisco, California, United States, US
Languages
  • English Full professional proficiency
  • Persian Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 2 ratings
  • (2)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Jake Lipp

It's not everyday you come across a "Hadi". He is a brilliant technologist, a gifted leader and an empathetic partner. He has a unique ability to solve impossible problems, with limited resources, against tight timeline. In my time with him he showcased his ability to take ownership and deliver on promises. He communicates expectations and offers solutions. And if this isn't enough, he has the remarkable ability to see the future! He knows where computer vision is going and designs solutions to get there as the tools today cannot meet the needs of the cutting edge field of "Hadi". If you can't tell.. I would highly recommend Hadi! If you want to discuss privately, please don't hesitate to reach out. Jake Lipp

Ziyu Zhang

It was a great pleasure to work with Hadi. First and foremost, Hadi is a very knowledgeable and experienced computer vision researcher who is highly proficient in algorithm development. I collaborated extensively with Hadi, as I was responsible for integrating and testing the models developed by him. Our collaboration was seamless thanks to Hadi's detail-orientated work attitude, and I knew whatever he handed over to me would work. Hadi is also a very natural leader, and he essentially served as the interim Head of Computer Vision when I was there. He managed this team very well and handled all the communication with the software team and the leadership team, and I was just glad he was always there, speaking for this team. And Hadi is absolutely pleasant to work with. He made very positive contributions to DawnLight not only by working on impactful products but also by fostering a kind yet responsible culture.

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Head of Computer Vision
      • Oct 2020 - Present

      Leading the computer vision team working on the next generation of ambient intelligence using machine learning. We build video based human activity and object recognition systems for real-time processing on edge. computers.

    • Research Scientist - Founding Team Member
      • May 2019 - Oct 2020

      DawnLight is a mission-driven cutting-edge technology company solving for the greatest challenges in healthcare today. https://www.dawnlight.com/team

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Research Scientist
      • Jan 2016 - May 2019

      Research Scientist/Tech Lead: • Large scale fine-grained image classification and matching for visual search at eBay. • Object detection, segmentation and fashion image recognition for shop the look experience. • Real-time personalized banner image generation using vision and reinforcement learning. • Key contributor of visual search in eBay ShopBot and Close5. • Deployment and maintenance of deep learning services on Google Cloud and AWS. • Contributor to eBay AI Platform for… Show more Research Scientist/Tech Lead: • Large scale fine-grained image classification and matching for visual search at eBay. • Object detection, segmentation and fashion image recognition for shop the look experience. • Real-time personalized banner image generation using vision and reinforcement learning. • Key contributor of visual search in eBay ShopBot and Close5. • Deployment and maintenance of deep learning services on Google Cloud and AWS. • Contributor to eBay AI Platform for large-scale training of deep learning models. • Computer vision lead of inline shopping experience for social e-commerce. • Mentored engineers to adopt deep learning frameworks, train in scale for production. • Mentorship of intern projects on: large-scale object detection, multi-modal embedding learning, semi-supervised attribute classification, active image search with reinforcement learning, and generative adversarial networks. Awards: • Critical talent award, 2018. This prestigious award is given to the top 5% of of employees who played a significant role in company's success. • Space.bot, an augmented reality iOS app, won the honorable mention award in the international eBay Skunkworks Expo, 2017. US Patents (Issued): 1. Determining an Item that has Confirmed Characteristics 2. Fine-Grained Categorization 15+ US patent applications pending. Show less Research Scientist/Tech Lead: • Large scale fine-grained image classification and matching for visual search at eBay. • Object detection, segmentation and fashion image recognition for shop the look experience. • Real-time personalized banner image generation using vision and reinforcement learning. • Key contributor of visual search in eBay ShopBot and Close5. • Deployment and maintenance of deep learning services on Google Cloud and AWS. • Contributor to eBay AI Platform for… Show more Research Scientist/Tech Lead: • Large scale fine-grained image classification and matching for visual search at eBay. • Object detection, segmentation and fashion image recognition for shop the look experience. • Real-time personalized banner image generation using vision and reinforcement learning. • Key contributor of visual search in eBay ShopBot and Close5. • Deployment and maintenance of deep learning services on Google Cloud and AWS. • Contributor to eBay AI Platform for large-scale training of deep learning models. • Computer vision lead of inline shopping experience for social e-commerce. • Mentored engineers to adopt deep learning frameworks, train in scale for production. • Mentorship of intern projects on: large-scale object detection, multi-modal embedding learning, semi-supervised attribute classification, active image search with reinforcement learning, and generative adversarial networks. Awards: • Critical talent award, 2018. This prestigious award is given to the top 5% of of employees who played a significant role in company's success. • Space.bot, an augmented reality iOS app, won the honorable mention award in the international eBay Skunkworks Expo, 2017. US Patents (Issued): 1. Determining an Item that has Confirmed Characteristics 2. Fine-Grained Categorization 15+ US patent applications pending. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Aug 2013 - Dec 2015

      I completed my Ph.D. in Computer Science in under the supervision of professor Tamara Berg. My research focused was on large scale visual recognition of clothing, people and styles which involved object detection, semantic segmentation, image retrieval and classifying images from the web using machine learning and deep learning. I completed my Ph.D. in Computer Science in under the supervision of professor Tamara Berg. My research focused was on large scale visual recognition of clothing, people and styles which involved object detection, semantic segmentation, image retrieval and classifying images from the web using machine learning and deep learning.

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Research Intern
      • May 2015 - Aug 2015

      Worked on multimodal semantic embeddings that jointly model images and text data with skip-grams. Worked on multimodal semantic embeddings that jointly model images and text data with skip-grams.

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Research Intern
      • May 2014 - Aug 2014

      Research focused on fine-grained object classification using mid-level representation learning. Research focused on fine-grained object classification using mid-level representation learning.

    • Sweden
    • Higher Education
    • 700 & Above Employee
    • Researcher
      • Mar 2010 - Sep 2010

      Computer Vision and Active Perception Lab (CVAP). Focused on 3D spatial modeling from 2D indoor scene images, working with Prof. Stefan Carlsson and Prof. Jan-Olof Eklundh. Computer Vision and Active Perception Lab (CVAP). Focused on 3D spatial modeling from 2D indoor scene images, working with Prof. Stefan Carlsson and Prof. Jan-Olof Eklundh.

Education

  • University of North Carolina at Chapel Hill
    Doctor of Philosophy (Ph.D.), Computer Science
    2013 - 2016
  • Stony Brook University
    Doctor of Philosophy (Ph.D.), Computer Science
    2011 - 2013
  • Sharif University of Technology
    Bachelor's Degree, Electrical Engineering
    2006 - 2011

Community

You need to have a working account to view this content. Click here to join now