Chaitanya Maniar is a Senior Computer Vision Engineer with nine years of hands-on experience building production-ready AI and machine learning systems, currently driving computer vision initiatives at Dematic. He previously served as an Artificial Intelligence Architect at Stanley Black & Decker and interned on AI/ML research at PlayStation, blending industrial automation and entertainment-industry perspectives. Trained in Electronics and Telecommunication in Mumbai and holding a master's in Electrical and Computer Engineering from Georgia Tech, he pairs strong academic foundations with practical deployment experience. Known for solving real-world perception problems in logistics and manufacturing, he focuses on turning research prototypes into robust edge and cloud systems. Based in Marietta, Georgia, he brings a pragmatic approach to model engineering and systems integration that emphasizes reliability and scalability. A detail that often goes unnoticed: his background spans both telecommunications hardware principles and advanced ML, enabling him to bridge sensor-level constraints with algorithmic design.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Georgia Institute of Technology
Bachelor’s Degree, Electronics and Telecommunication Engineering, Bachelor’s Degree, Electronics and Telecommunication Engineering at Mumbai University Mumbai
High School, High School at Gopi Birla Memorial School
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