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From Bihar farmer's family to cracking IIT-JEE at 12: Satyam Kumar's journey

At just twelve years old, Satyam Kumar astounded many by passing the IIT-JEE. His academic journey took him to IIT Kanpur, where he specialized in electrical engineering with a keen interest in robotics and intelligent systems. After earning his degree, he headed to the United States for a doctorate in machine learning.

From Bihar farmer's family to cracking IIT-JEE at 12: Satyam Kumar's journey

Satyam Kumar, born in a farmer's family in Bihar, defied expectations by cracking the IIT-JEE at just 12. After securing an All India Rank of 670 in 2012, he returned to the exam a year later and achieved an impressive rank. At IIT Kanpur, Satyam pursued a dual BTech-MTech program in Electrical Engineering, but his interests quickly shifted towards intelligent systems, machine learning, robotics, and advanced computing.

During his time at the institute, he worked on various research projects, including a robot capable of functioning on both land and water, which finished third in a robotics competition. Following his graduation, Satyam moved to the US in 2019 to pursue a PhD in Electrical and Computer Engineering at the University of Texas. His doctoral research focused on the intersection of artificial intelligence and brain-computer interfaces, a topic he explored for several years before completing his PhD at the age of 24.

Throughout his journey, Satyam has interned at Apple and held positions at Texas Instruments, where he now works as a Machine Learning Systems Research Engineer, specializing in advanced AI and machine learning technologies. Despite his early start, Satyam's path to success has been marked by continuous learning, research, and innovation, demonstrating that one's background does not limit their potential for achievement.

Written by urgent.news from Times of India's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at timesofindia.indiatimes.com →

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