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Authors List

Authors List

Authors

  • Lucas is a machine learning engineer. Driven by curiosity and a passion for data analysis, he enjoys the challenge of crafting efficient algorithms and refining data pipelines to make sense of complex information. With a focus on practical applications, Lucas enjoys leveraging technology to optimize processes and improve decision-making in data, text, audio, and image applications. In his spare time, Lucas enjoys painting tabletop models and playing video games.

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  • Madhan Kumar Baskaran works as a Search Engineer at AWS. His primary focus involves assisting customers in constructing scalable search applications and analytics solutions. Based in Bengaluru, India, Madhan has a keen interest in Data Engineering and DevOps.

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  • Marc Handalian is a senior software development engineer at AWS working on OpenSearch.

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  • Maria is the co-founder of Dattell, a consulting and managed services company. Dattell supports OpenSearch, Elasticsearch, Kafka, and Pulsar on client environments. Maria is dedicated to making the complex topic of open-source data architecture approachable.

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  • Mark Cohen is a Software Development Manager at AWS working on the OpenSearch Project.

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  • Martin Gaievski is a software engineer at AWS working on the OpenSearch Project and Amazon OpenSearch Service. His primary interests include machine learning, vector search, and semantic search. Outside of work, he enjoys running and listening to music.

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  • Mary Roark is a CISSP who is passionate about all things security and loves travel. She can speak security in 5 languages.

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  • Matheus Nogueira is a senior software engineer at Kubeshop and is one the maintainers of Tracetest. Prior to joining the Tracetest team, Matheus helped companies to improve automated tests and tooling to improve developer experience.

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  • Matt Lutton contributes brand and creative strategy to the OpenSearch Project; he enjoys playing with his two young kids and teaching himself how to make watch straps.

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  • Matt Timmermans was a Senior Principal Software Engineer at Tripadvisor, integrating OpenSearch into a low-latency CQRS backend. He currently is a Principle Engineer at Amazon.

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  • Mehul A. Shah is the Co-Founder of Aryn.ai. While everyone is working with AI these days, his background includes large-scale data management, distributed computing, and energy efficient computing. Prior to Aryn, Mehul was VP, Eng in Google Cloud, and GM of several AWS services: Glue, Lake Formation, and OpenSearch (Elasticsearch). His previous startup, Amiato, was acquired by Amazon. Before that, Mehul was a researcher at HP Labs, and he received a PhD from U.C. Berkeley and a MEng and B.S. from MIT in CS and Physics.

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  • Michael Oviedo is a software engineer at AWS working on performance and benchmarking for the OpenSearch Project. Outside of work he enjoys playing golf, trying new foods, and binge-watching TV shows.

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  • Mikayla Thompson

    Mikayla Thompson is a software engineer at AWS working on the OpenSearch Project, where she focuses on migrations.

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  • Mikhail Smelik is a Solutions Architect at AWS supporting strategic customers. Mikhail has worked closely with the AWS speciality organization to promote and support Opensearch.

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  • Milind Shyani is an applied scientist at Amazon Web Services working on machine learning algorithms and large language models.

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  • Minal Shah is a Software Engineering Manager at AWS with focus on OpenSearch, OpenSearch plugins, and Generative AI applications.

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  • Mingshi Liu is a software development engineer at AWS working on OpenSearch.

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  • Mohammad Qureshi is a software engineer at Amazon Web Services working on OpenSearch. Mohammad has worked on OpenSearch Alerting, Index State Management, Rollups, and Notifications.

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  • Mohit is a Senior Software Development Engineer at Amazon OpenSearch. He is interested in distributed systems, systems performance, and databases. He has been an OpenSearch contributor since 2021. At Amazon, he works with the indexing as primary area of interest and has contributed to various features and performance improvements in the same space.

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