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DTSTART;TZID=America/New_York:20260425T100000
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DESCRIPTION:Join us for AI Agents in Action — From Basics to Advanced\, a
  presentation day hosted by the Research Triangle–NC chapter of the AI C
 ollective in association with IEEE (Institute of Electrical and Electronic
 s Engineers).\n\n​​This gathering brings together people from across t
 he Research Triangle area\, NC who are interested in artificial intelligen
 ce and how it’s shaping our work\, organizations\, and communities.\n\n
 ​​Whether you&#39;re building with AI\, experimenting with new tools\, res
 earching the field\, or simply curious about where AI is heading\, you’r
 e welcome here. The goal is to create an inclusive space where people from
  different backgrounds and experience levels can meet\, share perspectives
 \, and learn from one another.\n\n​During this meetup\, we will:\n\n​
 • Introduce ourselves and connect with others interested in AI across th
 e Triangle community\n• Learn through 4–5 live presentations/demos cov
 ering AI agents from basics to advanced use cases (each followed by brief 
 Q&amp;A)\n• Explore how AI and agentic workflows are being applied across in
 dustries and communities\n• Discuss ideas and interests for future gathe
 rings\, topics\, and networking opportunities\n\nWhere to Park:\nParking i
 s FREE and open to the public on Saturdays. The following decks are the cl
 osest to the building:\n\nPartners Way Deck: Located directly across from 
 EB2. This is the most convenient option.\nOval West Deck: Located just beh
 ind EB2 and the James B. Hunt Jr. Library.\n\nCheckout the transportation 
 website for more information: https://transportation.ncsu.edu/visitor-park
 ing/\n\n[]\n\n​​Please be advised: Unfortunately\, space is very limit
 ed at these community events and we can not always accept everyone we woul
 d like to. If you are not accepted to this event\, please keep applying! W
 e appreciate your application tremendously and we are looking forward to s
 eeing you at a future event very soon!\n\nSpeaker(s): Jerome\, Ravindra\, 
 Daphne\, Dwight \, Lokesh\, Steven\, Emmanuel\, Sandeep\, Aaron\, Uman\n\n
 Agenda: \nRegistered Speakers :\n\nSandeep Chittimalli : Welcome message a
 nd agenda\n\nAaron Mathew and Uman Ahmed Mohammed : Volunteering with IEEE
  RAS\n\nTechnical Talks :\n\n1) Agent Interface for Plant Breeding Databas
 e\nPresenter: [Jerome Maleski](https://www.linkedin.com/in/jeromemaleski/)
  is a Research Scientist at NC State with over 10 years of experience buil
 ding AI and computer vision systems.\n2) Two Agents. Five Guardrails. One 
 Green Build\nPresenter: [Ravindra Singh](https://www.linkedin.com/in/rs-te
 ch/) is a Principal Engineer at Deutsche Bank working on AI-driven enginee
 ring workflows in enterprise systems.\n3) From Agents to Trajectories: The
  Missing Layer in Agentic Systems\nPresenter: [Daphne Earley](https://www.
 linkedin.com/in/daphneearley/) is the founder of Mentim\, a framework for 
 structural accountability in AI that focuses on how reasoning evolves unde
 r pressure\, not just what models output.\n4) The Follow-Up Agent I Built 
 in a Weekend\nPresenter: [Dwight Dillon-Seminario](https://www.linkedin.co
 m/in/dwightpauldillon/) is a financial agency owner and AI builder focused
  on automating business operations and follow-ups.\n5) RAG Security in Pro
 duction\nPresenter: [Lokesh Manohar](https://www.linkedin.com/in/hsekol/) 
 leads AI product development for Fortune 500 clients at LatentView Analyti
 cs.\n6) How to Build a Simple Agent\nPresenter: [Steven Diamante](https://
 www.linkedin.com/in/stevendiamante/) is a technical coach helping teams sh
 ip faster with AI coding agents.\n7) API for Best Price-to-Performance AI 
 Models\nPresenter: Emmanuel Mwangi builds tools to evaluate and optimize A
 I model selection at Fractal.ai.\n\nRoom: 3001\, Bldg: NCSU - Engineering 
 Building 2\, 890 Oval Dr \, Raleigh\, North Carolina\, United States\, 276
 95
LOCATION:Room: 3001\, Bldg: NCSU - Engineering Building 2\, 890 Oval Dr \, 
 Raleigh\, North Carolina\, United States\, 27695
ORGANIZER:asmathew@ieee.org
SEQUENCE:52
SUMMARY:​AI Collective x IEEE: AI Agents in Action — From Basics to Adv
 anced
URL;VALUE=URI:https://events.vtools.ieee.org/m/556392
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;&quot;&gt;Join us for &lt;em&gt;AI Agents in Acti
 on &amp;mdash\; From Basics to Advanced&lt;/em&gt;\, a presentation day hosted by th
 e Research Triangle&amp;ndash\;NC chapter of the AI Collective in association 
 with IEEE (Institute of Electrical and Electronics Engineers).&lt;/p&gt;\n&lt;p cla
 ss=&quot;&quot;&gt;​​This gathering brings together people from across the &lt;strong&gt;
 Research Triangle area\, NC&lt;/strong&gt; who are interested in artificial inte
 lligence and how it&amp;rsquo\;s shaping our work\, organizations\, and commun
 ities.&lt;/p&gt;\n&lt;p class=&quot;&quot;&gt;​​Whether you&#39;re building with AI\, experiment
 ing with new tools\, researching the field\, or simply curious about where
  AI is heading\, you&amp;rsquo\;re welcome here. The goal is to create an &lt;str
 ong&gt;inclusive space where people from different backgrounds and experience
  levels can meet\, share perspectives\, and learn from one another.&lt;/stron
 g&gt;&lt;/p&gt;\n&lt;p class=&quot;&quot;&gt;​During this meetup\, we will:&lt;/p&gt;\n&lt;p class=&quot;&quot;&gt;​&amp;
 bull\; Introduce ourselves and connect with others interested in AI across
  the Triangle community&lt;br&gt;&amp;bull\; Learn through 4&amp;ndash\;5 live presentat
 ions/demos covering AI agents from basics to advanced use cases (each foll
 owed by brief Q&amp;amp\;A)&lt;br&gt;&amp;bull\; Explore how AI and agentic workflows ar
 e being applied across industries and communities&lt;br&gt;&amp;bull\; Discuss ideas
  and interests for future gatherings\, topics\, and networking opportuniti
 es&lt;/p&gt;\n&lt;p class=&quot;&quot;&gt;Where to Park:&lt;br&gt;Parking is FREE and open to the publ
 ic on Saturdays. The following decks are the closest to the building:&lt;br&gt;&lt;
 br&gt;Partners Way Deck: Located directly across from EB2. This is the most c
 onvenient option. &lt;br&gt;Oval West Deck: Located just behind EB2 and the Jame
 s B. Hunt Jr. Library.&lt;br&gt;&lt;br&gt;Checkout&amp;nbsp\; the transportation website f
 or more information: &lt;a href=&quot;https://transportation.ncsu.edu/visitor-park
 ing/&quot;&gt;https://transportation.ncsu.edu/visitor-parking/&lt;/a&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p 
 class=&quot;&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/tego_/event/edit/PARKING
 &quot; alt=&quot;&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/
 4b753112-aebc-447e-9f64-71cc6cfd0114&quot; width=&quot;773&quot; height=&quot;435&quot;&gt;&lt;/p&gt;\n&lt;p cl
 ass=&quot;&quot;&gt;​​&lt;em&gt;Please be advised: Unfortunately\, space is very limited 
 at these community events and we can not always accept everyone we would l
 ike to. If you are not accepted to this event\, please keep applying! We a
 ppreciate your application tremendously and we are looking forward to seei
 ng you at a future event very soon!&lt;/em&gt;&lt;/p&gt;\n&lt;p class=&quot;&quot;&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /
 &gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Registered Speakers :&lt;/p&gt;\n&lt;p&gt;Sandeep Chittimalli&amp;
 nbsp\; : Welcome message and agenda&lt;/p&gt;\n&lt;p&gt;Aaron Mathew and Uman Ahmed Mo
 hammed : Volunteering with IEEE RAS&lt;/p&gt;\n&lt;p&gt;Technical Talks :&amp;nbsp\;&lt;/p&gt;\n
 &lt;p&gt;&lt;span class=&quot;break-words\n          tvm-parent-container&quot;&gt;&lt;span dir=&quot;lt
 r&quot;&gt;1) Agent Interface for Plant Breeding Database&lt;br&gt;Presenter: &lt;a id=&quot;emb
 er1004&quot; class=&quot;ember-view&quot; tabindex=&quot;0&quot; href=&quot;https://www.linkedin.com/in/
 jeromemaleski/&quot;&gt;Jerome Maleski&lt;/a&gt; is a Research Scientist at NC State wit
 h over 10 years of experience building AI and computer vision systems.&lt;br&gt;
 2) Two Agents. Five Guardrails. One Green Build&lt;br&gt;Presenter: &lt;a id=&quot;ember
 1005&quot; class=&quot;ember-view&quot; tabindex=&quot;0&quot; href=&quot;https://www.linkedin.com/in/rs
 -tech/&quot;&gt;Ravindra Singh&lt;/a&gt; is a Principal Engineer at Deutsche Bank workin
 g on AI-driven engineering workflows in enterprise systems.&lt;br&gt;3) From Age
 nts to Trajectories: The Missing Layer in Agentic Systems&lt;br&gt;Presenter: &lt;a
  id=&quot;ember1006&quot; class=&quot;ember-view&quot; tabindex=&quot;0&quot; href=&quot;https://www.linkedin
 .com/in/daphneearley/&quot;&gt;Daphne Earley&lt;/a&gt; is the founder of Mentim\, a fram
 ework for structural accountability in AI that focuses on how reasoning ev
 olves under pressure\, not just what models output. &lt;br&gt;4) The Follow-Up A
 gent I Built in a Weekend&lt;br&gt;Presenter: &lt;a id=&quot;ember1007&quot; class=&quot;ember-vie
 w&quot; tabindex=&quot;0&quot; href=&quot;https://www.linkedin.com/in/dwightpauldillon/&quot;&gt;Dwigh
 t Dillon-Seminario&lt;/a&gt; is a financial agency owner and AI builder focused 
 on automating business operations and follow-ups.&lt;br&gt;5) RAG Security in Pr
 oduction&lt;br&gt;Presenter: &lt;a id=&quot;ember1008&quot; class=&quot;ember-view&quot; tabindex=&quot;0&quot; h
 ref=&quot;https://www.linkedin.com/in/hsekol/&quot;&gt;Lokesh Manohar&lt;/a&gt; leads AI prod
 uct development for Fortune 500 clients at LatentView Analytics.&lt;br&gt;6) How
  to Build a Simple Agent&lt;br&gt;Presenter: &lt;a id=&quot;ember1009&quot; class=&quot;ember-view
 &quot; tabindex=&quot;0&quot; href=&quot;https://www.linkedin.com/in/stevendiamante/&quot;&gt;Steven D
 iamante&lt;/a&gt; is a technical coach helping teams ship faster with AI coding 
 agents.&lt;br&gt;7) API for Best Price-to-Performance AI Models&lt;br&gt;Presenter: Em
 manuel Mwangi builds tools to evaluate and optimize AI model selection at 
 &lt;a class=&quot;IwhKTCKzBPIgoVvQoPGKwfehndPXUYtwTs &quot; tabindex=&quot;0&quot; href=&quot;http://F
 ractal.ai&quot; target=&quot;_self&quot; data-test-app-aware-link=&quot;&quot;&gt;Fractal.ai&lt;/a&gt;.&lt;br&gt;&lt;
 /span&gt;&lt;/span&gt;&lt;/p&gt;
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