BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20261008T204331Z UID:EC072EE6-110C-422C-B6AB-D918117A264E DTSTART;TZID=America/New_York:20261005T190000 DTEND;TZID=America/New_York:20261005T200000 DESCRIPTION:Special Presentation by Rajasekhar Kondreddy\n\nHosted by the E xpert Tech Talks (IEEE Philadelphia Section)\n\nDate/Time: Monday\, 5 Octo ber 2026 @ 7 PM Eastern Time\n\nTopic:\n\nModernization of Cloud Platform with AI\n\nAbstract:\n\nCloud infrastructure automation has improved signi ficantly through Infrastructure as Code and CI/CD pipelines. However\, dep loying cloud resources still requires considerable engineering effort\, sp ecialized knowledge\, manual configuration\, and coordination across multi ple teams.\n\nIn this presentation\, Rajasekhar Kondreddy introduces a pra ctical vision for moving from traditional IaC pipelines to a governed\, AI -assisted cloud provisioning platform. The proposed approach combines Retr ieval-Augmented Generation(RAG)\, approved infrastructure modules\, policy -as-code\, automated validation\, and existing CI/CD processes to create a simple self-service experience.\n\nThe session will explore how users can request cloud resources through an easy\, one-click journey while securit y\, compliance\, approvals\, identity controls\, and audit evidence remain fully enforced behind the scenes. It will also cover the proposed archite cture\, operational guardrails\, implementation roadmap\, and potential re duction in repetitive engineering work.\n\nJoin us to learn how AI can sim plify cloud provisioning without compromising security\, governance\, reli ability\, or human oversight.\n\nSpeaker:\n\nRajasekhar Kondreddy is a Clo ud and AI Platform Engineering Leader with more than 17 years of experienc e designing\, deploying\, and supporting enterprise-scale\, cloud\, data\, analytics and AI Platforms. Throughout his career\, he has build secure\, resilient\, and scalable technology platforms across both on-premises and cloud environments.\n\nCurrently he works as a Cloud and AI Platform Engi neer\, helping organizations build modern platforms that support cloud tra nsformation \, advanced analytics\, and AI. Rajasekhar combines hands-n te chnical expertise with strategic leadership. His experience includes cloud platform engineering\, AI infrastructure\, DevOps\, Platform Automation\, Containerization\, enterprise security\, reliability engineering\, analyt ics platforms\, and large-scale production operations. He is passionate ab out building platforms that are not only technically advanced but also sec ure\, cost-effective\, reliable and practical for business use. He also br ings extensive industry experience across the Healthcare sector\, includin g Optum\, and the Telecommunications industry\, including AT&T\, with a st rong understanding of technology platforms and enterprise infrastructure w ithin these domains.\n\nBeyond enterprise technology delivery\, Rajasekhar contributes to applied AI research\, peer-review activities\, Professiona l speaking\, and the development of practical frameworks related to AI eng ineering\, digital transformation\, and technology leadership. He is commi tted to continuous learning\, knowledge sharing\, and mentoring others. Hi s professional journey reflects his ability to adapt to emerging technolog ies\, lead meaningful transformation\, and connect complex technical solut ions with measurable business outcomes.\n\nCo-sponsored by: IEEE Future Ne tworks AI/ML Working Group\n\nVirtual: https://events.vtools.ieee.org/m/58 1079 LOCATION:Virtual: https://events.vtools.ieee.org/m/581079 ORGANIZER:rachitjain4444@gmail.com SEQUENCE:21 SUMMARY:Expert Tech Talks - Modernization of Cloud Platform with AI URL;VALUE=URI:https://events.vtools.ieee.org/m/581079 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-top: 12.0p t\;">Special Presentation by<strong> Rajasekhar Kondreddy&nbsp\;</strong>< /p>\n<p class="MsoNormal" style="margin-top: 12.0pt\;">Hosted by the Exper t Tech Talks (IEEE Philadelphia Section)</p>\n<p class="MsoNormal" style=" margin-top: 12.0pt\;"><strong><span style="font-size: 14.0pt\; font-family : Copperplate\; mso-fareast-font-family: PMingLiU\; mso-fareast-theme-font : minor-fareast\; mso-bidi-font-family: Arial\; mso-bidi-theme-font: minor -bidi\; mso-ansi-language: EN-US\; mso-fareast-language: ZH-TW\; mso-bidi- language: AR-SA\;">Date/Time</span></strong><span style="font-size: 12.0pt \; font-family: 'Calibri'\,sans-serif\; mso-ascii-theme-font: minor-latin\ ; mso-fareast-font-family: PMingLiU\; mso-fareast-theme-font: minor-fareas t\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-family: Arial\; mso- bidi-theme-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-langu age: ZH-TW\; mso-bidi-language: AR-SA\;">: <strong>Monday\, 5 October 2026 </strong><strong> @ 7 PM Eastern Time</strong></span></p>\n<p class="MsoNo rmal" style="margin-top: 12.0pt\;"><span style="font-size: 12.0pt\; font-f amily: 'Calibri'\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-far east-font-family: PMingLiU\; mso-fareast-theme-font: minor-fareast\; mso-h ansi-theme-font: minor-latin\; mso-bidi-font-family: Arial\; mso-bidi-them e-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-language: ZH-T W\; mso-bidi-language: AR-SA\;"><strong><img src="https://events.vtools.ie ee.org/vtools_ui/media/display/ae3f3e64-8a3c-4cb6-a3d7-37009d5b7996"></str ong></span></p>\n<p class="MsoNormal" style="margin-top: .25in\;"><strong> <u><span style="font-size: 16.0pt\; font-family: Copperplate\;">Topic</spa n></u></strong><strong><span style="font-size: 16.0pt\; font-family: Coppe rplate\;">:</span></strong></p>\n<h3>Modernization of &nbsp\;Cloud Platfor m with AI</h3>\n<p class="MsoNormal" style="margin-top: .25in\;"><strong>< u><span style="font-size: 16.0pt\; font-family: Copperplate\;">Abstract</s pan></u></strong><strong><span style="font-size: 16.0pt\; font-family: Cop perplate\;">:</span></strong></p>\n<p>Cloud infrastructure automation has improved significantly through Infrastructure as Code and CI/CD pipelines. However\, deploying cloud resources still requires considerable engineeri ng effort\, specialized knowledge\, manual configuration\, and coordinatio n across multiple teams.</p>\n<p>In this presentation\, Rajasekhar Kondred dy introduces a practical vision for moving from traditional IaC pipelines to a governed\, AI-assisted cloud provisioning platform. The proposed app roach combines Retrieval-Augmented Generation(RAG)\, approved infrastructu re modules\, policy-as-code\, automated validation\, and existing CI/CD pr ocesses to create a simple self-service experience.</p>\n<p>The session wi ll explore how users can request cloud resources through an easy\, one-cli ck journey while security\, compliance\, approvals\, identity controls\, a nd audit evidence remain fully enforced behind the scenes. It will also co ver the proposed architecture\, operational guardrails\, implementation ro admap\, and potential reduction in repetitive engineering work.</p>\n<p>Jo in us to learn how AI can simplify cloud provisioning without compromising security\, governance\, reliability\, or human oversight.</p>\n<p>&nbsp\; </p>\n<p><strong><span style="font-size: 16.0pt\; font-family: Copperplate \;"><u>Speaker</u>:</span></strong></p>\n<table style="border-collapse: co llapse\; width: 100%\; height: 383px\;" border="1"><colgroup><col style="w idth: 28.878049%\;"><col style="width: 71.02439%\;"></colgroup>\n<tbody>\n <tr style="height: 383px\;">\n<td style="height: 383px\;"><img src="https: //events.vtools.ieee.org/vtools_ui/media/display/17506e56-af06-44c0-a3b2-a 4abbee529c9" width="238" height="323"></td>\n<td style="height: 383px\;">\ n<p>&nbsp\;</p>\n<p>Rajasekhar Kondreddy is a Cloud and AI Platform Engine ering Leader with more than 17 years of experience designing\, deploying\, and supporting enterprise-scale\, cloud\, data\, analytics and AI Platfor ms. Throughout his career\, he has build secure\, resilient\, and scalable technology platforms across both on-premises and cloud environments.</p>\ n<p>Currently he works as a Cloud and AI Platform Engineer\, helping organ izations build modern platforms that support cloud transformation \, advan ced &nbsp\;analytics\, and AI. Rajasekhar combines hands-n technical exper tise with strategic leadership. His experience includes cloud platform eng ineering\, AI infrastructure\, DevOps\, Platform Automation\, Containeriza tion\, enterprise security\, reliability engineering\, analytics platforms \, and large-scale production operations. He is passionate about building platforms that are not only technically advanced but also secure\, cost-ef fective\, reliable and practical for business use. He also brings extensiv e industry experience across the Healthcare sector\, including Optum\, and the Telecommunications industry\, including AT&amp\;T\, with a strong und erstanding of technology platforms and enterprise infrastructure within th ese domains.</p>\n<p>Beyond enterprise technology delivery\, Rajasekhar co ntributes to applied AI research\, peer-review activities\, Professional s peaking\, and the development of practical frameworks related to AI engine ering\, digital transformation\, and technology leadership. He is committe d to continuous learning\, knowledge sharing\, and mentoring others. His p rofessional journey reflects his ability to adapt to emerging technologies \, lead meaningful transformation\, and connect complex technical solution s with measurable business outcomes.&nbsp\;</p>\n</td>\n</tr>\n</tbody>\n< /table>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR