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Mayank Jain started their career as an Intern at APRO GREENTECH PRIVATE LIMITED in September 2016. After completing their internship in March 2017, they joined Constems-AI Systems (CAI) in January 2019 as an Intern. Mayank then worked as an Associate System Engineer at CAI from May 2019 to March 2021, where they researched, designed, and implemented machine learning applications to solve business problems. Mayank also developed object-oriented software using Python and C++ and composed production-grade code to convert machine learning models into services and pipelines. In March 2021, they transitioned to the role of a Software Engineer at Vaultedge Software and later became a Machine Learning Engineer in January 2022.

Mayank Jain has a diverse education history with a focus on technology and data science. Mayank completed their Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin from 2021 to 2022. Prior to that, they pursued a Master of Technology (MTech) in Information Technology from the International Institute of Professional Studies, IIPS, DAVV, Indore between 2014 and 2019. Mayank initially completed their 12th grade from Shri Guru Tegh Bahadur Academy, Ratlam, with a focus on Science.

In addition to their formal education, Mayank Jain has also obtained several certifications. Mayank completed online courses such as "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning" from Coursera. Mayank also obtained certifications in "Introduction to pyspark," "Cleansing data in python," "Importing in data science part 1 and part 2," "Intermediate python for data science," "Introduction to python for data science," "datascience toolbox part 1 and part 2," and "Machine Learning" from DataCamp. Furthermore, they gained knowledge in "Big data and Hadoop" from Castek Academy.