Rajnish Kumar
About Rajnish Kumar
Rajnish Kumar is a Data Scientist at StatusNeo in Gurugram, Haryana, India, where he has worked since 2022. He specializes in multi-lingual scene text recognition and has a background in artificial intelligence from his previous role at Tata Consultancy Services.
Work at StatusNeo
Rajnish Kumar has been employed as a Data Scientist at StatusNeo since 2022. He works in Gurugram, Haryana, India, where he focuses on developing advanced data solutions. One of his notable contributions includes the creation of a multi-lingual scene text recognition system that supports various Indian and world languages. This project demonstrates his capability in handling complex data challenges and his commitment to enhancing language processing technologies.
Previous Experience at Tata Consultancy Services
Before joining StatusNeo, Rajnish Kumar worked as an Artificial Intelligence Engineer at Tata Consultancy Services from 2019 to 2022. During his tenure in Noida, Uttar Pradesh, India, he gained valuable experience in artificial intelligence applications. He implemented a Document AI system designed to extract key information from documents, utilizing Computer Vision and fine-tuned Transformer models. This role allowed him to deepen his expertise in AI technologies and their practical applications.
Education and Expertise
Rajnish Kumar earned a Bachelor of Technology (BTech) degree in Electronics and Communication from Heritage Institute of Technology, completing his studies from 2015 to 2019. His educational background laid the foundation for his career in data science and artificial intelligence. He specializes in generating high-quality synthetic data for training deep learning models, which enhances prediction accuracy, especially when original data is limited. His expertise also includes designing document classification models and extracting key information from documents.
Technical Skills and Contributions
Rajnish Kumar possesses a strong technical skill set in data science and artificial intelligence. He has developed systems that leverage advanced machine learning techniques, including multi-lingual text recognition and Document AI solutions. His work in generating synthetic data has proven essential for improving model performance in scenarios with scarce datasets. Additionally, his ability to design document classification models showcases his proficiency in applying AI to real-world problems.