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  <div class="vevent h-event"> <h1 class="summary p-name">Portland AI Engineers January Meeting</h1> <div class='date'><time class="dtstart dt-start" title="2026-01-14T17:00:00" datetime="2026-01-14T17:00:00">Wednesday, January 14, 2026 from 5</time>–<time class="dtend dt-end" title="2026-01-14T19:00:00" datetime="2026-01-14T19:00:00">7pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202398029'><span class='fn org p-name'>Metro Region Innovation Hub</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">2130 SW 5th</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97201</span> (<a href='https://maps.google.com/maps?q=2130%20SW%205th,%20Portland%20OR%2097201%20'>map</a>) </div> </div> <div class="description p-description"> <p>This month we will have in depth technical presentations from AI builders looking for feedback and diverse perspectives our amazing community can always be counted on for.</p> <p>Schedule:</p> <p>5:00 - 5:30: Snacks and networking 5:30 - 6:30: Presentations 6:30 - 7:00: Wrap up and networking</p> <h2>Presenters</h2> <p>Beyond the Demo: Building Reliable AI with LLM Evaluations</p> <p>Speaker: Randy Olson, Co-Founder and CTO of Goodeye Labs</p> <p>Randy has a PhD in Computer Science and 15+ years of experience across software engineering, ML, and AI product development. His work has been featured in the New York Times, Wired, and FiveThirtyEight, and he created the widely-used open source tool TPOT.</p> <p>LLM evaluations (evals) have become one of the most talked-about topics in AI engineering, but for many teams, they remain abstract or intimidating. This talk cuts through the noise and gets practical: What are LLM evals, why should you care, and how do you actually implement them? Whether you're an AI engineer shipping models, a product manager defining quality bars, or anyone working hands-on in the AI space, you'll leave with a clear understanding of why evals matter and how to get started.</p> <p>Get involved:</p> <p>Present your work at a future event: Email us at <a href="mailto:info@portlandai.engineer">info@portlandai.engineer</a> to discuss sharing your project or insights Provide feedback: Help shape our community by sharing your ideas and suggestions Sponsor an event: Contact us to discuss partnership opportunities For more information and to join our community, visit portlandai.engineer</p> <h3>Thank you to our amazing sponsors</h3> <p>Portland Incubator Experiment (PIE) Silicon Florist AlteredCraft O'Reilly Instrument</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/portland-ai-engineers/events/312283129/">Website</a></li> </ul> </div>