Prompt Engineering Toolkit & AI-Driven Database Administration

The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):

First Speaker: Praveen Gupta (Connect on LinkedIn)

Title: Prompt Engineering Toolkit: Building with LLMs at Scale

Abstract: The Prompt Engineering Toolkit offers a solution, providing a comprehensive framework for authoring, testing, and evaluating prompts. This approach enables the easy creation, testing, sharing, and dynamic customization of prompts, supporting collaboration and utilizing evaluation methods like LLM as Judge and Human-in-the-loop to ensure prompt quality and monitor performance at scale.

Bio: Praveen Gupta is a Senior Software Engineer at Uber with over 17 years of experience building transformative products that scale to millions of users worldwide. At Uber, he leads the design and implementation of scalable systems, including initiatives for the Autonomous Vehicle Support platform in collaboration with multiple AV providers.

Previously, Praveen spearheaded the development of Adobe Marketo Data Streams, a product now used by enterprise leaders such as Google, Amazon, and Microsoft (Adobe Blog). Earlier in his career at Thomson Reuters, he helped build a cloud-based tax platform that transformed the indirect tax domain (TR Whitepaper).

Second Speaker: Venkata Keerthi Singamreddy (Connect on LinkedIn)

Title: AI-Driven Database Administration and Performance Optimization with Oracle 23ai

Abstract: Managing modern enterprise databases is becoming more challenging as workloads grow, applications demand real-time responses, and security threats evolve. Traditional database administration often relies on manual tuning, reactive troubleshooting, and repetitive maintenance, which can be time-consuming and error prone. Oracle Database 23ai introduces a new era of AI-powered administration, designed to automate these tasks and help DBAs stay ahead of performance and security challenges. With capabilities such as AI Vector Search, automatic workload prediction and resource optimization, intelligent indexing, and the built-in SQL Firewall, Oracle 23ai enables databases to self-tune, detect anomalies in real time, and deliver faster, more reliable performance. This session will cover the common pain points DBAs face today, and how Oracle 23ai addresses them with automation and predictive intelligence. Real-world use cases and performance benchmarks will be highlighted to show measurable improvements in query response times, resource efficiency, and uptime. The talk will also explore how the DBA role is evolving, shifting from routine maintenance to strategic focus on architecture, governance, and innovation. Finally, we will discuss best practices for adoption and provide a glimpse into the future of AI-driven database management, where systems self-optimize with minimal human effort.

Bio: Oracle Certified Associate with over 14 years of technical experience as Oracle Database Administrator providing 24/7 support for mission-critical OLTP production systems, development environments, and enterprise implementations. Expertise in database installations, upgrades, migrations, patching, cloning, and performance tuning across Oracle versions from 10g to 19c on multiple UNIX and Linux platforms. Have deep knowledge of high-availability solutions such as Oracle RAC and Data Guard, as well as replication and integration technologies including GoldenGate and Exadata. Proficient in Oracle Enterprise Manager (OEM) 12c/13c, RMAN cloning, and ZDLRA backup solutions. Skilled in diagnosing and resolving performance issues, optimizing large-scale database systems, and automating database tasks using Shell scripting and Ansible. Passionate about the future of AI-driven database solutions and focuses on bridging traditional DBA practices with emerging technologies like Oracle 23ai, enabling organizations to achieve smarter, faster, and more secure database management.