Sudhakhar K.

Sudhakhar S. K. is pursuing a B.S. in Computer Science at the University of California, Davis, expected to graduate in June 2027. Currently an intern at Swiss Condor AI in Hyderabad, he has contributed to developing a real-time Edge AI Vision/ITMS product on the NVIDIA Jetson platform, focusing on dual road and driver camera pipelines. His work aims to achieve a performance target of ≥25 FPS with a latency of less than 40 ms, optimizing GPU/CPU usage efficiently. Additionally, he engineered computer vision modules for critical functions like lane detection and traffic signal recognition, ensuring precision and recall metrics of ≥95%. At Amynta Group, Sudhakhar enhanced API performance by 25% and improved frontend load times by 60%, leveraging AWS services like Elastic Beanstalk, S3, and CloudFront. He is skilled in multiple programming languages including Python and Java, and proficient in tools like Git/GitHub and frameworks such as React and .NET, making him adept in improving system reliability and development efficiency. His project experience includes creating scalable web applications and achieving significant user engagement and performance improvements.