Aditi Khare has gained work experience in various technology communities and organizations related to artificial intelligence and machine learning. In 2023, they became a community member and open-source contributor for PandasAI, a Python library that integrates generative AI capabilities into Pandas. Aditi also joined The Full Stack as a community member, focusing on full stack deep learning, generative AI, and LLMOPS (Deployment and Learning in Production). Aditi became a member of the MLSecOps Community, specializing in machine learning security operations. Aditi also joined the LangChain community, which focuses on generative AI, LLMs, LLMOPS, and LangChain Apps. Aditi gained knowledge and shared resources as a community member of Papers with Code, focusing on reading research papers and implementing code approaches. In 2022, they joined Hugging Face, where they learned about Hugging Face Transformers and advanced concepts in NLP and generative AI. Aditi also became a member of the Weaviate community, focusing on an open-source vector search engine DB. In 2023, they joined Cohere AI, participating in the Large Language Models University and celebrating research outcomes. Aditi also joined the Cohere For AI community, engaging in research papers reading groups. Aditi joined the Cockroach Labs community, focused on cloud-native distributed SQL DB. In 2021, they became a member of the Redis community, learning about real-time data platforms. Throughout their work experience, Aditi has been actively learning, sharing knowledge, and engaging with these technology communities.
Aditi Khare's education history is as follows:
Aditi Khare pursued Executive Education in Big Data Analytics at the Indian Institute of Management Ahmedabad starting in 2019. Prior to that, they completed their Master's Degree in Computer Applications (MCA) from K J Somaiya Institute of Management, where they studied from 2013 to 2016. Before their Master's, Aditi obtained a Diploma in DotNet Technologies & Software Quality Assurance using IBM Rational from NIIT Pune in 2011 and 2012. Aditi'seducational journey began with a Bachelor's Degree in Information Technology from the University of Mumbai, which they earned from 2010 to 2013.
In addition to their formal education, Aditi has also obtained various certifications. These include certifications in domains such as modern system design, generative AI and transformers, full-stack large language models, chatGPT prompt engineering, entrepreneurship, Python API development, AI, robotics, data engineering, Linux administration, MLOPS model deployment, computer vision model deployment, recommender systems, Docker on AWS, MLOps, software architecture system design, and advanced cloud formation. These certifications cover a range of topics and were obtained from institutions such as Educative, Inc., Stanford University School of Engineering, The Full Stack, DeepLearning.AI, Harvard Innovation Labs, LangChain, freeCodeCamp, Global AI Hub, Udemy, DataTalksClub, Hugging Face, and Katonic.
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