About

Harshita Sharma is a highly skilled Machine Learning Engineer with a passion for developing scalable data analytics solutions using Deep Learning and AI. With nearly 6 years of relevant experience, Harshita has honed her skills in software engineering and has become proficient in Machine Learning, Text Analytics, and Big Data development. Harshita's expertise extends to cloud and different orchestration tools for model building and deployment. She has a keen interest in developing Deep Learning-based solutions that can be deployed at scale. Her specialties include Applied AI/Machine Learning, Deep Learning-based scalable data analytics solutions, and software engineering. Harshita has a Bachelor of Technology degree in Electronics and Communication Engineering from the LNM Institute of Information Technology, where she graduated in 2017. She also has a senior secondary degree in Science from St. Edmunds Jaipur, where she studied from 2010 to 2012. Harshita has worked for top companies in the industry, including athena health, where she worked as a Senior Member of Technical Staff and Member of Technical Staff - Data Science. Currently, she is working at Jarvis ML as a Machine Learning Engineer. Harshita is proficient in a wide range of technologies, including ML, Deep Learning, Software Engineering, Computer Vision, Python, NLP, Big Data, Sentiment Analysis, SQL, Spark, Data Scientist, Elastic Search, Kafka, AWS, Tensorflow, Search, and ETL. She is also active on Github, where she shares her projects and contributions. In summary, Harshita Sharma is a highly skilled Machine Learning Engineer with a passion for developing scalable data analytics solutions using Deep Learning and AI. With her strong background in software engineering and her expertise in Machine Learning and Big Data development, she is a valuable asset to any team.