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Abhigyan J Singh

Building AI GPU Infrastructure to Deploy AI Models at Billion Scale

Abhigyan J Singh is a graduate student at the University at Buffalo School of Engineering and Applied Sciences, pursuing a Master's degree in Electrical Engineering and Computer Science (EECS).1 He is currently focused on reinforcement learning, machine learning, and product development.

Professional Background

Prior to his graduate studies, Abhigyan had a notable career in the field of artificial intelligence and deep learning:

  • Senior Data Scientist at Predible Health (October 2022 - July 2023)
  • Deep Learning Engineer at Predible (October 2020 - September 2022)
  • Deep Learning Engineer at HyperVerge Inc. (July 2019 - September 2020)
  • Design and Research Engineer at Siemens (October 2017 - June 2019)

Key Achievements

  • Developed deep learning models for lung assessment (Lung-IQ©) that assisted in faster and more accurate examination of Thoracic CT Scans in over 20 hospitals.1
  • Achieved outstanding performance metrics in fraud detection, with a 96% recall rate and an increase in precision from 98% to 99.8%.1
  • Engineered efficient Overhead Catenary Systems for New Delhi Metro Phase 4 and Mumbai Metro Line 7, serving half a million daily passengers.1

Education

  • Currently pursuing a Master's degree in EECS at the University at Buffalo School of Engineering and Applied Sciences.1
  • Holds a Bachelor of Technology (B.Tech.) in Electrical Engineering from the Indian Institute of Technology, Madras (2013-2017).1

Skills and Interests

Abhigyan describes himself as a senior data scientist with experience in applying artificial intelligence and deep learning. He has expertise in developing and deploying scalable and robust deep learning models, particularly in processing billions of images for healthcare applications.1

Recent Activities

Abhigyan has been active in the AI community, participating in events such as:

  • Attending CVPR 2024, expressing interest in discussing the latest developments in computer vision and AI.2
  • Winning first place at France's largest hackathon in Paris with a project called "Le ChatOn Vision".3

Abhigyan J Singh is currently based in San Francisco, California, and is focused on "Building AI GPU Infrastructure to Deploy AI Models at Billion Scale".1

Related Questions

What projects is Abhigyan J Singh currently working on at University at Buffalo?
How did Abhigyan J Singh transition from electrical engineering to computer science?
What are some notable achievements of Abhigyan J Singh in the field of AI and deep learning?
Can you provide more details about Abhigyan J Singh's work at Predible Health?
What inspired Abhigyan J Singh to pursue a master's degree in EECS at University at Buffalo?
Abhigyan J Singh
Abhigyan J Singh, photo 1
Abhigyan J Singh, photo 2
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Location

San Francisco, California, United States