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Yogesh Chandrasekharuni has a diverse work experience in the field of machine learning. In 2021, they worked as a Machine Learning Engineer at Kairos Technologies where they were involved in building a digital humanoid product from scratch. This involved creating AI models for user-emotion detection, dialogue generation, question-answering, and more. Yogesh used Unreal Engine 5 and MetaHuman tech to build realistic humanoids and created animation sequences.

Prior to this, in 2020, Yogesh served as a Machine Learning Intern at Kairos Technologies. During this time, they researched and developed a format-agnostic resume parser from scratch. Yogesh utilized classification models and question-answering models to extract structured information from resumes. Yogesh also gained experience in various tech stacks such as AWS, Weights & Biases, Postman, and GIT.

Yogesh also worked as a Freelancing Machine Learning Engineer in 2020, where they collaborated with a client to build a News Recommendation Engine using collaborative filtering and content-based recommendation systems. Yogesh carried out data analysis, data engineering, model selection, and training. The co-clustering-based model delivered by Yogesh was highly successful.

Overall, Yogesh Chandrasekharuni has demonstrated proficiency in developing AI models, conducting research, and implementing machine learning solutions in various domains.

Yogesh Chandrasekharuni obtained a Bachelor's degree in Computer Science from GITAM Deemed University, which they attended from 2018 to 2022. Prior to this, they completed their high school education at Timpany Senior Secondary School from 2016 to 2018, where they focused on Mathematics and Computer Science and earned a High School Diploma.