Ranjithkumar Rajagopal

Ranjithkumar Rajagopal

Lead Machine Learning Engineer @ Searce

About Ranjithkumar Rajagopal

Ranjithkumar Rajagopal is a Lead Machine Learning Engineer at Searce Inc, specializing in Natural Language Processing and document AI. He has a strong background in Electronics and Communication, with advanced degrees in Applied Electronics and extensive experience in managing machine learning projects.

Work at Searce

Ranjithkumar Rajagopal has been employed at Searce Inc. as a Lead Machine Learning Engineer since 2021. He operates in a hybrid work environment in Bengaluru, Karnataka, India. In this role, he specializes in implementing advanced object detection algorithms, contributing to the development of innovative machine learning solutions. His work involves leveraging Natural Language Processing (NLP) techniques to enhance the efficiency of data extraction processes.

Education and Expertise

Ranjithkumar Rajagopal's educational background includes a Bachelor of Engineering (BE) in Electronics and Communication from PARK College of Engineering and Technology, where he studied from 2007 to 2011. He further pursued a Master of Engineering (ME) in Applied Electronics at Dr. Mahalingam College of Engineering and Technology from 2011 to 2013. Additionally, he completed his higher secondary education at PVKN Higher Secondary School, Pongalur, focusing on Computer Science from 2000 to 2007.

Team Management and Product Development

Ranjithkumar managed a team of six individuals in the development of the Recognic product. This project emphasized the use of NLP techniques for efficient document extraction. His leadership in this initiative showcases his ability to guide teams in the application of machine learning technologies to solve real-world problems.

Technical Skills and Tools

Ranjithkumar possesses strong technical skills in various areas of machine learning and data processing. He has expertise in Document AI, particularly in document parsing, which enhances data extraction efficiency. He utilizes Spacy for Natural Language Processing tasks and is proficient in GitLab for version control and collaborative development, facilitating effective teamwork in machine learning projects.

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