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Bhupendra Patil

Manager - Solutions Architect @ Databricks | Technical Presales

Bhupendra Patil is currently the Manager of Solution Architects at Databricks, where he oversees a team of pre-sales Solutions Architects. His role involves leading the team to engage with complex, strategic accounts, particularly in the healthcare and life sciences sectors. He is responsible for hiring, training, and developing his team to effectively qualify accounts and support complex sales cycles by providing technical expertise and solutions that drive customer success with Databricks products.

With over five years of experience in the data space, Bhupendra has a strong background in enterprise software, big data analytics, data engineering, and data science. His expertise allows him to guide customers through the design and implementation of scalable data architectures using Databricks technology. This includes architecting production-level data pipelines and optimizing cloud deployments across platforms such as AWS, Azure, and GCP.

In addition to his technical skills, Bhupendra is noted for his ability to build relationships with key stakeholders in large organizations, ensuring that both his team and customers achieve their goals effectively. His leadership style emphasizes continuous learning and development within his team, fostering a culture of innovation and excellence at Databricks.

Highlights

Mar 27 · linkedin

Introducing #DBRX: a general-purpose LLM that sets a new standard for efficient open source models.

To build DBRX, we leveraged the same suite of Databricks tools that are available to our customers. We managed and governed our training data using Unity Catalog. We explored this data using newly acquired Lilac AI. We processed and cleaned this data using Apache Spark™ and Databricks notebooks. We trained DBRX using optimized versions of our open-source training libraries: MegaBlocks, LLM Foundry, Composer, and Streaming. We managed large scale model training and finetuning across thousands of GPUs using our Mosaic AI Training service. We logged our results using MLflow. We collected human feedback for quality and safety improvements through Mosaic AI Model Serving and Inference Tables. We manually experimented with the model using the Databricks Playground. We found the Databricks tools to be best-in-class for each of their purposes, and we benefited from the fact that they were all part of a unified product experience.

Feb 15 · linkedin

Databricks is on a mission to make every industry known for its data-driven innovation. That's why I'm excited to announce #Lakehouse for Financial Services!

Designed to solve key data challenges FSIs face, Lakehouse for Financial Services helps data teams increase the impact and time-to-value of their data assets, enabling data + AI to become central to every part of their business.

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Bhupendra Patil
Bhupendra Patil, photo 1
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Location

New York City Metropolitan Area