About

Kushal Kokje is a highly skilled and experienced Data Engineering and Data Science leader with over 8 years of experience using data to drive innovation and insights across various business verticals. Currently working as an AI/ML Engineer at Bytedance, Kushal has a proven track record of designing, building, and operating robust distributed systems. Kushal's expertise lies in data engineering design patterns for building reliable, maintainable, and testable data pipelines processing petabytes of data. He also has knowledge of data governance and data security for securing data at rest and in-motion to maintain compliance standards and data lake quality. Kushal is passionate about applying data mining and statistical techniques to deliver better services and products. Kushal is skilled in Machine Learning and Big Data, making smart decisions and delivering excellent data products. He has experience in natural language processing, computer vision, and artificial intelligence, among other areas. Kushal's skill set includes Big Data tools like Spark, Hadoop MR, Presto, Hive, HBase, HDFS, Zookeeper, Pig, Sqoop, Flume, and Elastic Search. He is proficient in programming languages like Scala, Java, Python, SQL, and C++. Kushal has expertise in machine learning tools like Spark MLlib, Sklearn, Tensorflow, and Keras. He has worked with databases like Oracle Exadata Machine, MongoDB, DB2, HBase, and Redis. Kushal has previously worked as a Staff Software Engineer at Visa and as an R&D Intern (Data Science) at Tintri. At Tintri, he developed a test suite recommendation engine and REST APIs in Django to fetch data from Elastic search. Kushal also worked on predicting infrastructure failures in Tintri's storage systems using SOM Neural Network and Apache Spark. Kushal holds a Master's degree in Data Science from Indiana University and a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from Birla Vishvakarma Mahavidhalaya (BVM). Kushal is a passionate and driven individual who is always eager to connect with like-minded people. He is open to full-time opportunities in Big Data, Natural Language Processing, Data Science, Machine Learning, Computer Vision, Artificial Intelligence, Business Intelligence/Data Warehousing.