Abhijeet Shenoi

Founding Engineer & Head of Machine Learning at Hakimo

Abhijeet Shenoi is a highly experienced professional with a strong background in machine learning, algorithm engineering, research, and computer vision. Abhijeet is currently serving as the Founding Engineer & Head of Machine Learning at Hakimo since January 2021. Prior to this, they worked at Aibee Inc. as an Algorithm Engineer from April 2019 to January 2021, where they contributed to the Store 'Events' Team and collaborated with notable experts. Abhijeet also worked as a Research Assistant at Stanford University's Vision Lab from April 2018 to March 2020, where they worked closely with Prof. Silvio Savarese and Dr. Juan Carlos Niebles. During their time at Stanford, they also held positions such as a Member of the Admissions Committee and Head Teaching Assistant. Additionally, they gained valuable experience as a Computer Vision Intern at Apple in the summer of 2018. Abhijeet's earlier professional experience includes a Test Engineering Internship at Schneider Electric in 2015, where they automated a testing process for an LCD display and pioneered the implementation of computer vision for testing procedures. Overall, Abhijeet Shenoi's career demonstrates their expertise in machine learning, algorithm engineering, research, and computer vision, making him a valuable asset in these fields.

Abhijeet Shenoi began their education journey in 2013 at the Indian Institute of Technology, Madras, where they pursued a Bachelor's Degree in Electrical Engineering. Abhijeet dedicated their time to this program until their graduation in 2017. Subsequently, Abhijeet furthered their education at Stanford University, commencing in 2017 and completing their Master of Science (MS) degree in Computer Science in 2019.

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Timeline

  • Founding Engineer & Head of Machine Learning

    January, 2021 - present