BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251023T033909Z UID:10E400C7-83D1-4E69-878C-C0C17C7B2B68 DTSTART;TZID=America/Los_Angeles:20251022T190000 DTEND;TZID=America/Los_Angeles:20251022T200000 DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership requi red):\n\nFirst Speaker: Praveen Gupta ([Connect on LinkedIn](https://www.l inkedin.com/in/guptapraveen2/))\n\nTitle: Prompt Engineering Toolkit: Buil ding with LLMs at Scale\n\nAbstract: The Prompt Engineering Toolkit offers a solution\, providing a comprehensive framework for authoring\, testing\ , and evaluating prompts. This approach enables the easy creation\, testin g\, sharing\, and dynamic customization of prompts\, supporting collaborat ion and utilizing evaluation methods like LLM as Judge and Human-in-the-lo op to ensure prompt quality and monitor performance at scale.\n\nBio: Prav een Gupta is a Senior Software Engineer at Uber with over 17 years of expe rience building transformative products that scale to millions of users wo rldwide. At Uber\, he leads the design and implementation of scalable syst ems\, including initiatives for the Autonomous Vehicle Support platform in collaboration with multiple AV providers.\n\nPreviously\, Praveen spearhe aded the development of Adobe Marketo Data Streams\, a product now used by enterprise leaders such as Google\, Amazon\, and Microsoft ([Adobe Blog]( https://blog.developer.adobe.com/introducing-the-adobe-marketo-engage-data -streams-61198b567fbb)). Earlier in his career at Thomson Reuters\, he hel ped build a cloud-based tax platform that transformed the indirect tax dom ain ([TR Whitepaper](https://tax.thomsonreuters.com/en/insights/white-pape rs/how-the-cloud-beats-on-premise-tax-tech)).\n\nSecond Speaker: Venkata K eerthi Singamreddy ([Connect on LinkedIn](https://linkedin.com/in/venkata- keerthi-singamreddy-a950ba32))\n\nTitle: AI-Driven Database Administration and Performance Optimization with Oracle 23ai\n\nAbstract: Managing moder n enterprise databases is becoming more challenging as workloads grow\, ap plications demand real-time responses\, and security threats evolve. Tradi tional database administration often relies on manual tuning\, reactive tr oubleshooting\, and repetitive maintenance\, which can be time-consuming a nd error prone. Oracle Database 23ai introduces a new era of AI-powered ad ministration\, designed to automate these tasks and help DBAs stay ahead o f performance and security challenges. With capabilities such as AI Vector Search\, automatic workload prediction and resource optimization\, intell igent indexing\, and the built-in SQL Firewall\, Oracle 23ai enables datab ases to self-tune\, detect anomalies in real time\, and deliver faster\, m ore reliable performance. This session will cover the common pain points D BAs face today\, and how Oracle 23ai addresses them with automation and pr edictive intelligence. Real-world use cases and performance benchmarks wil l 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 bes t practices for adoption and provide a glimpse into the future of AI-drive n database management\, where systems self-optimize with minimal human eff ort.\n\nBio: Oracle Certified Associate with over 14 years of technical ex perience as Oracle Database Administrator providing 24/7 support for missi on-critical OLTP production systems\, development environments\, and enter prise implementations. Expertise in database installations\, upgrades\, mi grations\, patching\, cloning\, and performance tuning across Oracle versi ons from 10g to 19c on multiple UNIX and Linux platforms. Have deep knowle dge 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 clon ing\, and ZDLRA backup solutions. Skilled in diagnosing and resolving perf ormance issues\, optimizing large-scale database systems\, and automating database tasks using Shell scripting and Ansible. Passionate about the fut ure of AI-driven database solutions and focuses on bridging traditional DB A practices with emerging technologies like Oracle 23ai\, enabling organiz ations to achieve smarter\, faster\, and more secure database management.\ n\nSpeaker(s): Praveen Gupta\, Venkata Keerthi Singamreddy\n\nVirtual: htt ps://events.vtools.ieee.org/m/505567 LOCATION:Virtual: https://events.vtools.ieee.org/m/505567 ORGANIZER:ruben.glatt@ieee.org SEQUENCE:20 SUMMARY:Tech Talks: Prompt Engineering Toolkit & AI-Driven Database Adminis tration URL;VALUE=URI:https://events.vtools.ieee.org/m/505567 X-ALT-DESC:Description: <br /><p>The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):</p>\n<p><strong>First Speaker:</strong><strong> </strong>Praveen Gupta (<a title="https://www.linkedin.com/in/guptapravee n2/" href="https://www.linkedin.com/in/guptapraveen2/" target="_blank" rel ="nofollow noopener noreferrer ugc">Connect on LinkedIn</a>)</p>\n<p><stro ng>Title: </strong>Prompt Engineering Toolkit: Building with LLMs at Scale </p>\n<p><strong>Abstract:</strong> 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 collaborati on and utilizing evaluation methods like LLM as Judge and Human-in-the-loo p to ensure prompt quality and monitor performance at scale.</p>\n<p><stro ng>Bio:</strong> 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 implementa tion of scalable systems\, including initiatives for the Autonomous Vehicl e Support platform in collaboration with multiple AV providers.</p>\n<p>Pr eviously\, Praveen spearheaded the development of Adobe Marketo Data Strea ms\, a product now used by enterprise leaders such as Google\, Amazon\, an d Microsoft (<a title="https://blog.developer.adobe.com/introducing-the-ad obe-marketo-engage-data-streams-61198b567fbb" href="https://blog.developer .adobe.com/introducing-the-adobe-marketo-engage-data-streams-61198b567fbb" target="_blank" rel="nofollow noopener noreferrer ugc">Adobe Blog</a>). E arlier in his career at Thomson Reuters\, he helped build a cloud-based ta x platform that transformed the indirect tax domain (<a title="https://tax .thomsonreuters.com/en/insights/white-papers/how-the-cloud-beats-on-premis e-tax-tech" href="https://tax.thomsonreuters.com/en/insights/white-papers/ how-the-cloud-beats-on-premise-tax-tech" target="_blank" rel="nofollow noo pener noreferrer ugc">TR Whitepaper</a>).</p>\n<p><strong>Second Speaker: </strong>Venkata Keerthi Singamreddy (<a title="https://linkedin.com/in/ve nkata-keerthi-singamreddy-a950ba32" href="https://linkedin.com/in/venkata- keerthi-singamreddy-a950ba32" target="_blank" rel="nofollow noopener noref errer ugc">Connect on LinkedIn</a>)</p>\n<p><strong>Title: </strong>AI-Dri ven Database Administration and Performance Optimization with Oracle 23ai< /p>\n<p><strong>Abstract: </strong>Managing modern enterprise databases is becoming more challenging as workloads grow\, applications demand real-ti me responses\, and security threats evolve. Traditional database administr ation often relies on manual tuning\, reactive troubleshooting\, and repet itive maintenance\, which can be time-consuming and error prone. Oracle Da tabase 23ai introduces a new era of AI-powered administration\, designed t o automate these tasks and help DBAs stay ahead of performance and securit y challenges. With capabilities such as AI Vector Search\, automatic workl oad prediction and resource optimization\, intelligent indexing\, and the built-in SQL Firewall\, Oracle 23ai enables databases to self-tune\, detec t 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. Re al-world use cases and performance benchmarks will be highlighted to show measurable improvements in query response times\, resource efficiency\, an d uptime. The talk will also explore how the DBA role is evolving\, shifti ng from routine maintenance to strategic focus on architecture\, governanc e\, and innovation. Finally\, we will discuss best practices for adoption and provide a glimpse into the future of AI-driven database management\, w here systems self-optimize with minimal human effort.</p>\n<p><strong>Bio: </strong> Oracle Certified Associate with over 14 years of technical exper ience as Oracle Database Administrator providing 24/7 support for mission- critical OLTP production systems\, development environments\, and enterpri se implementations. Expertise in database installations\, upgrades\, migra tions\, 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 wel l as replication and integration technologies including GoldenGate and Exa data. Proficient in Oracle Enterprise Manager (OEM) 12c/13c\, RMAN cloning \, and ZDLRA backup solutions. Skilled in diagnosing and resolving perform ance issues\, optimizing large-scale database systems\, and automating dat abase tasks using Shell scripting and Ansible. Passionate about the future of AI-driven database solutions and focuses on bridging traditional DBA p ractices with emerging technologies like Oracle 23ai\, enabling organizati ons to achieve smarter\, faster\, and more secure database management.</p> \n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR