About

Shivam Basia is a highly skilled Software Engineer with a Master of Science in Computer Science from the Herbert Wertheim College of Engineering, University of Florida. With 1.85 years of relevant experience, Shivam has worked as a Software Engineer Intern at Intel and a Software Engineer at ZS Associates. Shivam's technical skills are extensive and include Machine Learning, Deep Learning, Data Warehousing, AWS Cloud Computing, Full Stack Web Development, Python, C, C++, Java, SQL, PHP, HTML, JSP, R, Assembly Language, Shell Script, JavaScript, and Servlets. He has worked on a multitude of technologies and has extensive experience in building the backend of data warehouse applications using MPP architecture. Shivam has also worked extensively in the field of Machine Learning building predictive models for various use cases, and has added multiple features to in-house products, performed and documented proof of concepts, automated and optimized current bottlenecks in processes, and built RESTful services. His work can be found on his GitHub page. Currently, Shivam is working as a Graduate Teaching Assistant for Mathematics for Intelligent Systems (COT5615) under Professor Arunava Banerjee at the University of Florida. Shivam's past experiences include debugging power management errors and building a log anomaly detection resulting in 70% faster validation at Intel, and constructing a data warehouse solution over AWS cloud supporting above 100 TBs of data for ETL automation, computing business metrics from data warehouse to visualize data real-time making decisions faster by 80%, and devising a website for tracking patient’s digital data journey through UTM tracking on the marketed drug at ZS Associates. Overall, Shivam is a highly skilled and motivated Software Engineer with a passion for Machine Learning and Deep Learning. He is committed to delivering high-quality work and is always looking for new challenges to push his skills to the limit.