About

Khushal Bapna is a highly skilled Machine Learning Engineer at Bloomreach, with a background in research, computer vision, machine learning, and data analytics. He is an alumnus of the prestigious Indian Institute of Technology, Delhi, where he earned his Bachelor's degree in Engineering Physics. He also holds a Master of Science degree in Materials Science and Engineering from the National Tsing Hua University. Khushal's experience includes working as a Co-founder of a hardware automation startup incubated in IIT Delhi, where he was responsible for deep learning/CV model development, software development, supply chain management, market research, and data analytics. He has also worked as an R&D Senior Engineer at Ennoventure Inc., where he developed and deployed models into their product line, including a production-level model for product identification with accuracy over 99.7% and less than 0.1% false positives. He also designed and deployed an object detection model for on-device computation, created an ML model using autoencoders and SVM for differentiating products with high similarity, and implemented a text detection model for text extraction and detection with Pytorch implementation. Khushal's technical expertise includes ML, computer vision, Spark, NLP, MapReduce, deep learning, Hadoop, AI, object detection, Docker, Azure, software engineering, Python, Java, SQL, iOS, SVM, Pytorch, CNN, GAN, integration, Jupyter, random forest, Android, Keras, OpenCV, big data, TensorFlow, Pandas, Kafka, Flask, and Apache Hive. He has demonstrated the ability to handle multiple responsibilities and is accountable for the delivery, planning, and meeting timeline for apps in Android and IOS platform. He has also supervised the deployment of object detection models into Android and IOS applications. Overall, Khushal has 4.86 years of relevant experience and is an accomplished Machine Learning Engineer with a proven track record of delivering high-quality solutions.