Rajneesh Kumar
About Rajneesh Kumar
Rajneesh Kumar is a Senior Data Engineer with extensive experience in data engineering and deep learning technologies. He has worked at notable companies including Fractal Analytics and Credit Karma, and holds a Master's Degree from the Indian Institute of Technology, Kharagpur.
Work at Credit Karma
Rajneesh Kumar currently serves as a Senior Data Engineer at Credit Karma, a position he has held since 2022. In this role, he focuses on building scalable AI solutions that address various business challenges. His work integrates deep learning techniques with big data expertise to enhance the company's data-driven decision-making processes.
Previous Experience at Fractal Analytics
Rajneesh Kumar worked at Fractal Analytics as a Lead Engineer in AI and Big Data from 2018 to 2022. During this four-year tenure in Charlotte, North Carolina, he contributed to the development of advanced analytics solutions. Prior to this role, he was a Senior Engineer in AI and Big Data at the same company from 2016 to 2018 in Mumbai, India.
Experience at Persistent Systems
Before joining Fractal Analytics, Rajneesh Kumar was employed at Persistent Systems as a Senior Software Engineer from 2014 to 2016. He worked in the Pune Area, India, where he gained valuable experience in software engineering and data management.
Education and Expertise
Rajneesh Kumar holds a Master's Degree in Information Technology from the Indian Institute of Technology, Kharagpur, which he completed from 2012 to 2014. He further enhanced his skills by studying deep learning at Udacity, where he earned a Nanodegree from 2018 to 2019. His expertise includes implementing object detection, classification, segmentation, and action recognition using deep learning libraries such as Pytorch, Keras, and TensorFlow.
Technical Skills and Technologies
Rajneesh Kumar possesses a strong background in data engineering, with proficiency in various technologies including Hadoop, Spark, NoSQL, Java, Python, DataStage, ETL, Data Warehousing, and SQL. His technical skills enable him to effectively manage and analyze large datasets, contributing to the development of robust data solutions.