Kamalakanta Behera

Data Annotation Engineer @ StatusNeo

About Kamalakanta Behera

Kamalakanta Behera is a Data Annotation Engineer currently working at StatusNeo in Bengaluru, Karnataka, India. He has a background in software engineering and quality assurance, with experience in developing gesture recognition systems and data annotation for driver monitoring systems.

Current Role at StatusNeo

Kamalakanta Behera is currently employed as a Data Annotation Engineer at StatusNeo, a position he has held since 2022. In this role, he focuses on data annotation for driver monitoring systems, specifically analyzing human body parts and poses. His work contributes to the development of advanced technologies in the automotive sector.

Previous Experience at Intelizign Lifecycle Services Pvt. Ltd.

Prior to his current role, Kamalakanta Behera worked at Intelizign Lifecycle Services Pvt. Ltd. from 2018 to 2022. He served as both a Quality Assurance Analyst and a Software Engineer during his four-year tenure in Bengaluru, Karnataka, India. His responsibilities included ensuring the quality of software products and contributing to software development projects.

Education and Technical Qualifications

Kamalakanta Behera has a diverse educational background. He studied at SCVT ODISHA, where he achieved an ITI from 2008 to 2010. He furthered his studies at MITE Odisha, earning a degree in Mechanical Engineering from 2014 to 2016. Additionally, he completed a CCNA program in Computer Systems Networking and Telecommunications at ASIT Bangalore from 2016 to 2017. He also holds a CCAM from CTTC Bhubaneswar and a DCA from Krupajal Computer Academy, Bhubaneswar.

Specialization in Gesture Recognition Systems

Kamalakanta Behera specializes in developing and testing gesture recognition systems for media controls in automobiles. His expertise includes utilizing advanced annotation techniques such as polygons, masks, and 3D boxes for object detection tasks. He is also involved in the final quality assurance process for image annotation in autonomous self-driving vehicle projects.

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