Technology

We are back for another edition of the GitHub User Group. This month we dive into using Copilot and AI to enhance the design workflow, and look at how we can leverage AI in our GitHub Actions. **Product Design with Source Control: Using GitHub, AI, and Preview Builds as Your Source of Truth \~ [Walt Lim](https://www.linkedin.com/in/waltzaround/)** In this talk, Walt shares how he uses GitHub and AI to rethink the design process, moving beyond traditional prototypes to code as the source of truth. By using pull requests and ephemeral preview builds, he creates fast, realistic, and testable environments where ideas can be reviewed, iterated, and validated in context. Combined with AI-assisted workflows, this approach helps his team move quicker, reduce ambiguity, and make better decisions with less overhead **From One PR to Another: Agentic Workflows on GitHub \~ [Sinan Nar](https://www.linkedin.com/in/sinannar/)** A live demo of using AI-driven workflows to trigger actions across repositories—automatically creating a PR in a second repo when changes are merged. bio: Sinan is an Apps and AI Consultant at ARINCO, a Microsoft and GitHub partner consultancy. He co-organises the Aotearoa Azure User Group and the Auckland .NET User Group. An experienced and certified software engineer, he specialises in the Microsoft ecosystem, with a focus on Azure and GitHub. **Agenda** 5:30 - Start of pizza and networking 6:00 - Talk 1 6:30 - Break 6:40 - Talk 2 7:15 - Finish Please make sure to register for the event as we need to provide contact details to Microsoft for security purposes. Registration will close 48 hours prior to the event to provide enough time to send out the access passes for in-person attendees, but you can [join online](https://aka.ms/aotearoanzgithub/stream) on the day. If you have a topic you'd like to present (or hear about) please reach out, or create an idea in our [GitHub Ideas discussion board](https://github.com/orgs/NZ-GitHub-UG/discussions/categories/ideas).

Customer identity resolution becomes increasingly complex as organizations scale across multiple systems, regions, and data formats. Traditional rule-based approaches often fail to keep up with data variability, require constant manual tuning, and struggle with real-time processing needs. This session presents a practical approach to building a scalable identity resolution pipeline using AWS services and modern AI techniques. The architecture combines data ingestion through Amazon S3 and AWS Glue, transformation pipelines using Spark on EMR, and machine learning models deployed via SageMaker for entity matching and standardization. Graph-based relationship modeling is implemented using Amazon Neptune to improve resolution accuracy by incorporating household and shared attribute context. We will walk through how machine learning models can be used for name and address normalization, how intelligent blocking strategies improve matching efficiency, and how feedback loops can be introduced to continuously improve accuracy. The session also highlights how serverless components such as AWS Lambda can be used for orchestration and real-time processing. **SPEAKER BIO** Mosaic Syed is a Senior Data Engineering and Cloud Solutions Architect with over 20 years of experience designing and delivering scalable, secure, and high-performance data solutions across global enterprise environments. https://www.linkedin.com/in/mosaic-basha-syed-92300856 **CALL FOR SPEAKERS** Learn more: [https://www.awscolumbus.com/get-involved/](https://www.awscolumbus.com/get-involved/) **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: [https://www.veeam.com/](https://www.veeam.com/) **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

Join the Columbus AI community for our quarterly gathering — a casual, community-focused evening where everyone has a chance to share, learn, and connect. These open mic–style events give anyone in the community up to **5 minutes** to present a project, share a tool, pose a question, or offer a perspective on the evolving AI space. No slides required — just a welcoming space to exchange ideas and keep the local AI conversation moving. If you’d like to take the stage, message \*\*Chris (the organizer)\*\*with a **title and short description** of what you’d like to share. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.linkedin.com/company/transformlabs/) Sign up also accessible via [Transform Labs Luma](https://luma.com/transformlabshq)

**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 You will need to scan your ID at the door to get a visitor badge. **Abstract** TBD **YouTube Link** TBD

Christians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)

Topic to be announced. **THANK YOU** *Franklin University* for hosting our meetup! To learn more about *Franklin University*, please visit their website: https://www.franklin.edu/ **DIRECTIONS** Franklin University Fisher Hall 300 E. Main St, Columbus, OH 43215 Map: https://maps.app.goo.gl/jxjBA2hUmS5qrvhq8 Parking is FREE! Please park in Lot C in front of Fisher Hall. See attached map. NOTE: Map the address only. When mapping with Google Maps it may use the Fisher Hall at OSU, which is NOT correct. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

Bring your Raspberry Pi, Arduino, microcontroller, or any other electronic project and join fellow electronics makers for a night of creativity and collaboration! This session is open forum to share your current projects—whether complete or in progress, it’s all interesting! Whether you’re deep into embedded systems, exploring new ideas, or just getting started, you’ll find a welcoming space to collaborate, share, and get inspired. **New to electronics or curious about tinkering?** You’re absolutely welcome. If you’re a beginner and want to experiment, I’ll have a couple of starter kits available so you can try things out—whether that’s blinking your first LED, putting something on a display, or experimenting with simple sensors. No pressure and no experience required—just an interest in learning and building. While we continue to pursue a more permanent venue for this Meetup, we’ll be using public library facilities based on availability. This session will be at the Worthington Park Library in the Olentangy Meeting Room.

Join us for a practical, beginner-friendly guide to choosing the right large language model. We’ll compare major models like ChatGPT, Claude, Gemini, and Llama, talk about when to use hosted APIs versus local models, and break down the tradeoffs around cost, speed, quality, privacy, context windows, coding ability, and reliability. You’ll leave with a clearer mental model for picking an LLM based on your actual use case instead of hype, benchmarks, or brand names. No deep AI background required. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.