About

Kushagra Deep is a hardworking and skilled Data Science and Engineering professional with a strong foundation in Computer Science and Engineering. He is passionate about computer vision, reinforcement learning, and natural language processing. Currently, he is working as a Senior Software Engineer at Mobileum, where he has designed and developed TripMetrics for Roaming Telecom users streaming data. This innovative solution captures mobility and usage events of the mobile user and assigns service scores to each service based on the quality of service discerned from the data received. These scores are then aggregated to give RoamingCustomerExperience Score (R-CX). Kushagra has also designed and implemented Bloom Filters for faster lookups into Big Data and correlated two streams of data using Spark Structured Streaming and Stateful Spark APIs. His tech stack includes Hadoop, Spark SQL, Hive, Hbase, Presto, Oracle RDBMS, Structured Streaming, and Java8. Prior to his current role, Kushagra worked as an R&D Software Engineer at Next Education India Pvt Ltd. He worked in Microservices Architecture using Netflix API's such as Zuul, Ribbon, Hysterix, and Eureka. He also has experience in RDBMS, SQL, and Java7. Kushagra holds a Bachelor of Technology degree in Chemical Engineering from the Indian Institute of Technology, Delhi. Kushagra has a diverse tech stack that includes Software Engineering, Spark, Data Science, Spring, Hadoop, Reinforcement Learning, NLP, Computer Vision, HDFS, Big Data, Spring Boot, SQL, Mobile, Java, Apache Hive, Microservices, ML, Kafka, AWS, Deep Learning, Apache Airflow, MapReduce, Research Scientist, Tensorflow, Pandas, and Senior Software Engineer. With 5.87 years of relevant experience, Kushagra is a skilled professional who is always eager to learn and grow in his field.