DR. C. RANJEETH KUMAR
Chronology

Professional
Experience.

Academic & Industry Appointments

Scientific Resident

Skyworks Solutions de Mexico

Mexicali, Baja California, Mexico (Remote)

I was selected for the 2026–2027 Skyworks Scientific Residence Program through the company's internal evaluation process to work on the “Predictivity Test Process” project. This role provides me with international research exposure through a scientific residence at Skyworks Solutions de México.

Sep 2026 – Present

Dean of Innovation and Entrepreneurship & Professor

G. Pullaiah College of Engineering and Technology

Kurnool, Andhra Pradesh

I serve as the Dean of Innovation and Entrepreneurship and as a professor in the CSE department. I take care of all innovation and entrepreneurship activities to foster student growth and development.

Jan 2025 – Present

Adjunct faculty member

Golden Gate University

San Francisco, USA (Remote)

I am a Thesis Supervisor for the Doctorate of Business Administration (DBA) program at Golden Gate University in a part-time remote capacity.

Feb 2025 – Present

Professor

Ashoka Women's Engineering College

Kurnool, Andhra Pradesh

I initiated a strong coding culture among the students through the Neopat platform. Before my joining, platform usage was at 3%, but through consistent efforts, I raised it to 80%. I motivated students to adopt an innovation culture, which resulted in one team being shortlisted for the SIH2024 finals—the first time our students ever entered such a major contest.

May 2024 – Dec 2024

Associate Professor

Sri Ramakrishna Engineering College

Coimbatore, Tamil Nadu

Feb 2023 – May 2024

Assistant Professor

Sri Ramakrishna Engineering College

Coimbatore, Tamil Nadu

Jun 2010 – Jan 2023

Co-Founder

ARTISPEC TECHNOLOGIES PRIVATE LIMITED

Coimbatore, Tamil Nadu

As a Co-founder, I conducted extensive research for an AI-based Machine Vision Inspection system. I guided and motivated students who aspired to be entrepreneurs, and they are currently part of Artispec. I also inculcated effective approaches in terms of ML algorithms, camera configurations, and lighting setups.

Jul 2022 – Mar 2024