About

Sarthak Srivastava is a seasoned Senior Software Engineer (IOT) with a strong background in predictive analysis through machine learning and research experience in disease modeling. With over 3.36 years of relevant experience, he has worked extensively on classification problems with Neural Networks and AutoML. Sarthak completed his undergraduate studies in Computer Science at Netaji Subhas Institute of Technology, University of Delhi in May '19. Currently, he is working as a Senior Data Engineer at Samsung R&D Bangalore, where he is responsible for developing a ML-based recommendation system for a smart appliance to be deployed On Device. He has also worked on various data analytics projects using Scala and Spark, data preparation, interpolation, feature creation, anomaly removal, verification of parameters, and trend analysis. Sarthak has a strong technical background and is proficient in multiple technologies such as AWS, Recommendation system, Neural Networks, Data Engineering, Deep Learning, Spark, Amazon Athena, Big Data, Mobile, Scala, Backend, and Computer Vision. He has experience working with big data analytics platforms, including analysis of AWS tools to provide backend data management support, Redshift, Athena, S3, and data visualization tools such as Tableau and Superset. In the past, Sarthak worked as a Research and Development Intern at Samsung, where he worked with the 5G network team and developed an application for data retrieval optimization. He also worked as a Graduate Research Assistant at Netaji Subhas Institute of Technology, where he worked on “Video Steganography using Convolutional Neural Network” under Professor M.P.S Bhatia. Sarthak's passion for technology is evident from his website, https://github.com/s-sarthak, where he showcases his skills and experience. His CV, https://github.com/s-sarthak/Sarthak_Srivastava_Resume/blob/main/Sarthak_Srivastava_CV.pdf, highlights his achievements and expertise. With his technical expertise and research experience, Sarthak is a valuable asset to any organization.