Aditi Khare

Aditi Khare has a diverse range of work experience in the field of AI and technology. Aditi has been an active member of various communities and open-source projects, contributing and learning from each role. Aditi has been a member of the PandasAI community, where they have gained knowledge about integrating generative AI capabilities into Pandas. Aditi has also been a member of The Full Stack community, focusing on deep learning, generative AI, and augmented language models. Aditi has been a part of the MLSecOps Community, LangChain Community, Papers with Code Community, Hugging Face Transformers Research Papers Reading Group, Weaviate Community, Cohere AI Large Language Models University, Cockroach Labs Community, and Redis Community. In each of these roles, they have been actively involved in learning, sharing resources, and staying updated with cutting-edge AI technologies.

Aditi Khare has a diverse education history. In 2019, they enrolled in the Indian Institute of Management Ahmedabad for Executive Education, specializing in Big Data Analytics. Prior to that, from 2013 to 2016, they pursued a Master's Degree in Computer Applications (MCA) from K J Somaiya Institute of Management. In 2011 to 2012, Aditi attended NIIT Pune, where they obtained a Diploma in DotNet Technologies & Software Quality Assurance using IBM Rational, focusing on Information Technology. Their undergraduate education took place from 2010 to 2013 at the University of Mumbai, where they earned a Bachelor's Degree in Information Technology.

Furthermore, Aditi Khare has obtained several additional certifications to supplement their education. These certifications include Grokking Modern System Design Interview for Engineers & Managers from Educative, Inc., Stanford CS 2023 Course on Generative AI & Transformers from Stanford University School of Engineering, and The Full Stack Large Language Models Course - From Scratch to Go-Live in Production [Research Papers, LLMs Models & LLMOPS] from The Full Stack. Aditi has also completed courses and obtained certifications in various other fields such as prompt engineering, entrepreneurship, Python API development, AI, robotics, data engineering, MLOPS, computer vision, and system design. The institutions they attended for these certifications range from DeepLearning.AI to Harvard Innovation Labs, Udemy, and DataTalksClub.