Speak at Bengaluru Systems meet-up
Call for talks & demos for monthly meet-ups
Accepting submissions till 31 Dec 2027, 11:59 PM
Not accepting submissions
Describe the problem statement, approach/solution, and takeaways for the audience.
If you are submitting a demo, keep it as an open source pitch. Product pitches will be counted as sponsored talks.
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Accepting submissions till 31 Dec 2027, 11:59 PM
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Shuva Jyoti Kar Building Agentic Data Workflows: Connecting Gemini CLI to Apache Pinot via MCPElevator Pitch Discover how to turn the Gemini CLI into a powerful Data Engineering tool. This session provides a hands-on look at using the Model Context Protocol (MCP) to connect Gemini CLI directly to Apache Pinot, enabling natural language querying and agentic workflows over streamable HTTP. more
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Sourav Singh Rawat Valkey replication Internals WalkthroughDescription I have been exploring Valkey for some time and wanted to know more how Valkey performs its replication process. Valkey and Redis instead of using some complex handy work use a common buffer by creating a linked list, I will go into depth of how Valkey does its entire replication process from the Primary node to the client! more
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Sanchayan Ghosh Analyzing Feature Vectors for AI ApplicationsThis model has toxicity in its induction heads and transfers information from attention to induction heads. What are you moving from one layer to another? Come vectorsvectors more
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krishan goyal # Optimizing Data Ingestion in Apache PinotOptimizing Data Ingestion in Apache Pinot The Problem more
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Srinath Reddy Sadipiralla  PostgreSQL Internals Deep Dive: From Startup to Crash Recovery, Physical ReplicationWhat really happens inside PostgreSQL from the moment the postmaster starts to the moment a crash is recovered and normal operations resume? This talk takes you through a connected journey across several key components of PostgreSQL internals, starting with the process architecture: how the postmaster starts, spawns child processes, and manages system activity. From there, we dive into the mechan… more
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Mithun Chicklore Yogendra pg_search: Bringing Elasticsearch-Grade Search to PostgreSQLDevelopers building on PostgreSQL face a painful dilemma: PostgreSQL’s native full-text search lacks BM25 ranking, powerful query composition, and performs poorly at scale (millions or more rows), while Elasticsearch introduces dual infrastructure and complex synchronization (ETL). pg_search eliminates this trade-off with dramatically faster performance for various use cases. more
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