Harsh Waghela

Software Engineer at Bloomreach

Harsh Waghela has a diverse work experience in various companies and roles. Harsh started their career as a Junior Analyst at BNP PARIBAS INDIA SOLUTIONS PRIVATE LIMITED, where they troubleshooted and debugged production incidents, designed and automated manual tasks, and collaborated with global teams. Harsh then worked as an Associate Level 1, where they designed and developed a centralized automation script, collaborated on the setup of a parallel production environment, and improved investigation response time. Harsh also has experience in the field of earthquake research, having worked as a Java Developer and Student Mentor at Southern California Earthquake Center (SCEC). In these roles, they migrated codebase, designed and built plugins, and performed bug fixes. Harsh further expanded their skills as a Data Engineering Intern and later as a Data Engineer at ConsumerTrack, Inc., where they worked on projects involving Python, AWS, Docker, Airflow, and Terraform. Their responsibilities included designing API fetchers, building a data ingestion pipeline, and rebuilding data pipelines on the AWS cloud. Harsh's most recent position was as a Software Engineer at Bloomreach, where they contributed to the development of software applications.

Harsh Waghela completed their Bachelor of Engineering in Information Technology from Dwarkadas J. Sanghvi College of Engineering from 2012 to 2016. Harsh then pursued a Master of Science in Computer Science at the University of Southern California from 2018 to 2020. In addition to their formal education, they obtained various certifications including "Master of Science Computer Science" from the University of Southern California in May 2020, "Scala Essential Training" from Lynda.com in May 2019, "Structuring Machine Learning Projects" from Coursera in May 2019, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in March 2019, "Neural Networks and Deep Learning" from Coursera in March 2019, "Machine Learning" from Coursera in February 2019, and "Introduction to Apache Cassandra" from DataStax in June 2017.

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