About

Vipul Vaibhaw is a Senior Data Engineer with over 5 years of experience in the field of Data Engineering, Deep Learning, and Performance Engineering. He is passionate about building scalable distributed systems, databases, ETL pipelines, and Machine Learning/Deep Learning models. Vipul has a Bachelor's degree in Mathematics from Fergusson College and has completed a Post Graduate Diploma in Machine Learning and AI from IIIT Bangalore. He is currently pursuing a degree in Machine Learning and AI from Liverpool John Moores University. Vipul has worked with various frameworks such as Apache Flink, Apache Spark, Kafka, Kinesis, Airflow, Pytorch, Tensorflow, Deepstream, and TensorRT. He has hands-on experience with languages such as C++, Python, and Java/Scala. Vipul has worked with cloud platforms such as AWS and GCP. He has also contributed to open-source projects on Github. In his past roles, Vipul has worked as a Senior Data Engineer and Research and Development Engineer at Velotio. He has built large-scale ELT/ETL pipelines using Airflow, Apache Flink, and Apache Spark. He has also worked extensively on EDA and Data Analytics and built Machine Learning models at scale. Vipul has also worked as a Database Engineer with Macrometa, where he integrated the compute feature to the architecture, added "Named Queries" feature to the database, and added Write Back cache mechanism for various components of Macrometa. He has also worked on various other projects related to C++, Python, and Nodejs. Vipul's technical skill set includes Data Engineering, Deep Learning, Spark, Python, Scala, ML, Apache Airflow, AWS, Data Scientist, ETL, AI, Tensorflow, Kafka, Pytorch, GCP, Research Scientist, and Computer Vision. He has relevant experience of 4.93 years in the industry. Vipul is not interested in data analyst roles or anything that involves him paying money. He is also not interested in doing MLM.