Rajesh KothaRK
Open to opportunities

Rajesh Kotha

@rajeshkotha

Motivated AI professional skilled in data segmentation and problem-solving.

India

What I'm looking for

I am looking for a dynamic environment where I can contribute my AI expertise and grow professionally.

I am a motivated professional with a year of experience in Artificial Intelligence and Data Segmentation. My journey began at Vaagdevi Engineering College, where I earned my degree in Computer Science and Engineering. I have developed a strong foundation in programming languages such as Python, JavaScript, and SQL, which I have applied in real-world projects.

Currently, I work at NVIDIA as an Associate Process Executive, where I validate and label video data for autonomous vehicles. This role has honed my skills in image segmentation and video labeling, allowing me to contribute to cutting-edge technology in the automotive industry. I thrive in collaborative environments and am dedicated to delivering high-quality results while adapting to diverse challenges.

Experience

Work history, roles, and key accomplishments

NV
Current

Associate Process Executive

NVIDIA

Apr 2024 - Present (1 year 2 months)

Validated and performed video labeling for autonomous cars and chassis control systems, focusing on infrastructure for video sequences from camera-mounted autonomous vehicles. Synchronized recorded video files to a master database, annotated images, and identified road signs, lanes, lights, pedestrians, vehicles, and infrastructure within video sequences. Provided support to team members regarding

Education

Degrees, certifications, and relevant coursework

VC

Vaagdevi Engineering College

Bachelor of Technology, Computer Science and Engineering

Grade: 6.23 CGPA

Studied Computer Science and Engineering, focusing on core concepts and applications. Gained foundational knowledge in various aspects of computer science.

KC

Kakatiya Graduates Junior College

Intermediate, MPC

Grade: 5.4 CGPA

Completed the MPC (Mathematics, Physics, Chemistry) program. Developed a strong foundation in science and mathematics.

Tech stack

Software and tools used professionally

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