Apache Kafka

Our next meet-up is scheduled for March 18th....and we promise it will be a blast! ​Join us for a no-fluff, practitioner-led deep dive into two critical LLM challenges with focus on quantization and cheat-proof evaluations . ​This time we will handle a pannel discussion with two experts in the area - David Kоchoanov and Yordan Darakchiev. ​Pannel 1: Smarter AI at lower cost: How quantization makes LLMs more efficient? ​What can you expect? ​LLMs guzzle RAM and GPU like crazy. Quick rundown: inference modes, bottlenecks, the math behind it. ​Hands-on: when to use each and how to benchmark properly. ​The talk will provide a quick review of LLM inference modes, current bottlenecks, and numerics. The main goal is to explain post-training quantization methods that are most commonly supported by modern software and hardware, and give practical recommendations for their use and model benchmarking. We'll also provide a brief summary of the academic literature and discuss quantization-aware training and distillation. ​Who will present? ​David Kochanov has over 10 years of experience in computer vision research and development. In his current role at CARIAD (Volkswagen Group), he works on autonomous driving and driver assistance systems, with a focus on model deployment for real-time inference, including quantization and architectural optimizations. ​Pannel 2: Everybody Lies: How Language Models (and People) Cheat ​What can you expect? ​Teaching computers and people have the same temptations - students game grades, LLMs game benchmarks. We grade LLMs like exams: bad criteria reward test-taking tricks, not truth. The talk will present specially built for the pannel small BI-style benchmark (SQL, data summaries, and insight generation) with multiple LLM "judges" grade multiple models. With only couple of stress tests on the judges with small changes to the grading scheme all were broken - creating pure chaos! ​Rankings flip depending on who grades, response length beats correctness, and judges favour familiar model "accents". ​We'll end with an "academic integrity" toolkit for LLM evaluation: ensembles, invariance checks, length controls, and lightweight human calibration to make our LLM metrics harder to cheat on, and easier to trust. ​Who will present? ​Yordan Darakchiev is a data scientst and technical trainer. He has helped various teams turn data and ML into modern, measureable, production systems. His specialty are vision and language models, with a sharp focus on evaluation - fairness, privacy, trustworthiness, and robustness. He also teaches math and machine learning and has helped kickstart the career of more than 1000 data and ML professionals. ​Our next meet-up is scheduled for March 18th....and we promise it will be a blast! ​Join us for a no-fluff, practitioner-led deep dive into two critical LLM challenges with focus on quantization and cheat-proof evaluations . ​This time we will handle a pannel discussion with two experts in the area - David Kоchoanov and Yordan Darakchiev. ​Pannel 1: Smarter AI at lower cost: How quantization makes LLMs more efficient? ​What can you expect? ​LLMs guzzle RAM and GPU like crazy. Quick rundown: inference modes, bottlenecks, the math behind it. ​Hands-on: when to use each and how to benchmark properly. ​The talk will provide a quick review of LLM inference modes, current bottlenecks, and numerics. The main goal is to explain post-training quantization methods that are most commonly supported by modern software and hardware, and give practical recommendations for their use and model benchmarking. We'll also provide a brief summary of the academic literature and discuss quantization-aware training and distillation. ​Who will present? ​David Kochanov has over 10 years of experience in computer vision research and development. In his current role at CARIAD (Volkswagen Group), he works on autonomous driving and driver assistance systems, with a focus on model deployment for real-time inference, including quantization and architectural optimizations. ​Pannel 2: Everybody Lies: How Language Models (and People) Cheat ​What can you expect? ​Teaching computers and people have the same temptations - students game grades, LLMs game benchmarks. We grade LLMs like exams: bad criteria reward test-taking tricks, not truth. The talk will present specially built for the pannel small BI-style benchmark (SQL, data summaries, and insight generation) with multiple LLM "judges" grade multiple models. With only couple of stress tests on the judges with small changes to the grading scheme all were broken - creating pure chaos! ​Rankings flip depending on who grades, response length beats correctness, and judges favour familiar model "accents". ​We'll end with an "academic integrity" toolkit for LLM evaluation: ensembles, invariance checks, length controls, and lightweight human calibration to make our LLM metrics harder to cheat on, and easier to trust. ​Who will present? ​Yordan Darakchiev is a data scientst and technical trainer. He has helped various teams turn data and ML into modern, measureable, production systems. His specialty are vision and language models, with a sharp focus on evaluation - fairness, privacy, trustworthiness, and robustness. He also teaches math and machine learning and has helped kickstart the career of more than 1000 data and ML professionals. Agenda: 18:30-19:00 - Welcome drinks 19:00-20:00 - Pannel 1 & Pannel 2 20:00-20:30 - Q&A 20:30-21:30 - Networking ​Note: Event will be handled in English. ​Event is free but registration is mandatory: https://luma.com/8bbbxx1t

We are hosting our next meetup in Sofia! **Address:** Barter Community Hub \| Puzl\, 47 Cherni Vrah BLVD\, Sofia\, Bulgaria https://www.barter-hub.com **Agenda:** 17.45: Doors open, join us for snacks and drinks 18:15: Building Data Products with Logstash 19.00: How Elastic Streams Simplifies Log Data Management 19.45: Networking 20.00: Close **Talks:** **Building Data Products with Logstash** This talk will demonstrate how Logstash can be used to pull data, perform cleanup and enrichment, and create a data product (e.g., asset tracking) visualized in Kibana. *Speaker: Tsvetan Paskov, Full-stack Developer, DevOps, Founder @Move2Chat* **How Elastic Streams Simplifies Log Data Management** Learn how to manage log data more efficiently using Elastic Streams. This talk covers the challenges of unstructured logs, the benefits of schema-on-ingest, and new stream processing capabilities for transforming and structuring log messages. You’ll see how to use AI-assisted Grok pattern suggestions, conditional processing, and the schema editor to map fields accurately. We also explore how to monitor data quality through degraded and failed document tracking, and how to set custom retention policies. Finally, you’ll get an overview of Wired Streams, Elastic’s unified log ingestion model that simplifies routing and stream partitioning post-ingestion. *Speakers: Boris Kirov (Observability - Senior Product Designer) and Giorgos Bamparopoulos (Senior Manager Software Engineering) @Elastic*

Our next meet-up is scheduled for March 18th....and we promise it will be a blast! ​Join us for a no-fluff, practitioner-led deep dive into two critical LLM challenges with focus on quantization and cheat-proof evaluations . ​This time we will handle a pannel discussion with two experts in the area - David Kоchoanov and Yordan Darakchiev. ​Pannel 1: Smarter AI at lower cost: How quantization makes LLMs more efficient? ​What can you expect? ​LLMs guzzle RAM and GPU like crazy. Quick rundown: inference modes, bottlenecks, the math behind it. ​Hands-on: when to use each and how to benchmark properly. ​The talk will provide a quick review of LLM inference modes, current bottlenecks, and numerics. The main goal is to explain post-training quantization methods that are most commonly supported by modern software and hardware, and give practical recommendations for their use and model benchmarking. We'll also provide a brief summary of the academic literature and discuss quantization-aware training and distillation. ​Who will present? ​David Kochanov has over 10 years of experience in computer vision research and development. In his current role at CARIAD (Volkswagen Group), he works on autonomous driving and driver assistance systems, with a focus on model deployment for real-time inference, including quantization and architectural optimizations. ​Pannel 2: Everybody Lies: How Language Models (and People) Cheat ​What can you expect? ​Teaching computers and people have the same temptations - students game grades, LLMs game benchmarks. We grade LLMs like exams: bad criteria reward test-taking tricks, not truth. The talk will present specially built for the pannel small BI-style benchmark (SQL, data summaries, and insight generation) with multiple LLM "judges" grade multiple models. With only couple of stress tests on the judges with small changes to the grading scheme all were broken - creating pure chaos! ​Rankings flip depending on who grades, response length beats correctness, and judges favour familiar model "accents". ​We'll end with an "academic integrity" toolkit for LLM evaluation: ensembles, invariance checks, length controls, and lightweight human calibration to make our LLM metrics harder to cheat on, and easier to trust. ​Who will present? ​Yordan Darakchiev is a data scientst and technical trainer. He has helped various teams turn data and ML into modern, measureable, production systems. His specialty are vision and language models, with a sharp focus on evaluation - fairness, privacy, trustworthiness, and robustness. He also teaches math and machine learning and has helped kickstart the career of more than 1000 data and ML professionals. ​Our next meet-up is scheduled for March 18th....and we promise it will be a blast! ​Join us for a no-fluff, practitioner-led deep dive into two critical LLM challenges with focus on quantization and cheat-proof evaluations . ​This time we will handle a pannel discussion with two experts in the area - David Kоchoanov and Yordan Darakchiev. ​Pannel 1: Smarter AI at lower cost: How quantization makes LLMs more efficient? ​What can you expect? ​LLMs guzzle RAM and GPU like crazy. Quick rundown: inference modes, bottlenecks, the math behind it. ​Hands-on: when to use each and how to benchmark properly. ​The talk will provide a quick review of LLM inference modes, current bottlenecks, and numerics. The main goal is to explain post-training quantization methods that are most commonly supported by modern software and hardware, and give practical recommendations for their use and model benchmarking. We'll also provide a brief summary of the academic literature and discuss quantization-aware training and distillation. ​Who will present? ​David Kochanov has over 10 years of experience in computer vision research and development. In his current role at CARIAD (Volkswagen Group), he works on autonomous driving and driver assistance systems, with a focus on model deployment for real-time inference, including quantization and architectural optimizations. ​Pannel 2: Everybody Lies: How Language Models (and People) Cheat ​What can you expect? ​Teaching computers and people have the same temptations - students game grades, LLMs game benchmarks. We grade LLMs like exams: bad criteria reward test-taking tricks, not truth. The talk will present specially built for the pannel small BI-style benchmark (SQL, data summaries, and insight generation) with multiple LLM "judges" grade multiple models. With only couple of stress tests on the judges with small changes to the grading scheme all were broken - creating pure chaos! ​Rankings flip depending on who grades, response length beats correctness, and judges favour familiar model "accents". ​We'll end with an "academic integrity" toolkit for LLM evaluation: ensembles, invariance checks, length controls, and lightweight human calibration to make our LLM metrics harder to cheat on, and easier to trust. ​Who will present? ​Yordan Darakchiev is a data scientst and technical trainer. He has helped various teams turn data and ML into modern, measureable, production systems. His specialty are vision and language models, with a sharp focus on evaluation - fairness, privacy, trustworthiness, and robustness. He also teaches math and machine learning and has helped kickstart the career of more than 1000 data and ML professionals. Agenda: 18:30-19:00 - Welcome drinks 19:00-20:00 - Pannel 1 & Pannel 2 20:00-20:30 - Q&A 20:30-21:30 - Networking ​Note: Event will be handled in English. ​Event is free but registration is mandatory: https://luma.com/8bbbxx1t

📌 Let's meet in **Sofia** on **March 19th 2026** for an interactive conference and an enriching networking session! Come and discover Odoo, the all-in-one integrated software that will simplify your day-to-day business. Say goodbye to double coding, lost invoices and budgets; create your website in a few clicks... Odoo offers you a wide range of tools built for IT.🧐 🔎 **AGENDA** 🔍 18h00: Welcome! 18h15: Conference - Interactive demo & tips to digitize your company. 20h00: Networking - Snacks and drinks. ➡️ Are you convinced? You can subscribe at the following link: https://www.odoo.com/r/RfP The event is free, but registration is mandatory.❗ **Important:** 📍 Where? Sofia Grand Hotel - 1, General Gurko St str, 1000 Sofia, Bulgaria 📅 Date? Thursday, March 19th , 2026 📝 Registration? https://www.odoo.com/r/RfP 💰 Price? FREE! Hope to see you soon!

**Founders Running Club** (FRC) brings founders, investors, tech, creative people and startup enthusiasts together for weekly easy runs and networking. We like to be comfortable when we run and finish with coffee and conversations. Choose your pace or follow a pacer—pets, friends, family, are welcome. 🗓️ Launched in San Francisco, July 16, 2022 🌍 Now in 35+ cities 📅 Running + Networking events + Community **Join the community** [http://foundersrc.com/chats](http://foundersrc.com/chats) **Stay updated**: Instagram [http://instagram.com/foundersrc/](http://instagram.com/foundersrc/) Podcast [http://podcast.foundersrc.com/](http://podcast.foundersrc.com/) LinkedIn [http://linkedin.com/company/foundersrc/](http://linkedin.com/company/foundersrc/) Strava [http://strava.com/clubs/foundersRC](http://strava.com/clubs/foundersRC) Website [http://foundersrc.com/](http://foundersrc.com/)

Discover Kiro, AWS’s innovative development environment that adapts to your workflow. Whether you prefer specification-driven development or a more intuitive, vibe-based approach, Kiro empowers you to build applications your way. In this session, speakers will explore Kiro’s core functionality and its evolution through re:Invent 2025, along with demonstrations of prompts used to create APIs, hooks, and steering documents. In the latter part of the session, watch as we build a complete example from scratch, showcasing Kiro’s agentic AI workflow in action for spec-driven development and vibe coding. What You'll Learn - Core Kiro concepts and development philosophy Feature evolution: pre and post re:Invent 2025 Practical examples: API creation, hooks, and steering docs Live coding demonstration with real-time problem solving Who Should Attend - Developers, solutions architects, and technical leaders interested in modern AWS development tools and AI-assisted coding workflows. **Speakers Bio:** Matthew Jorat: Matthew Jorat is a Customer Solutions Manager at AWS with nearly three decades of expertise in AI, cloud transformation, migration, modernization, IT, technology, and business. His career spans infrastructure engineer, solutions architect, security auditor, customer success director, support and services director, and operations officer. He was an early adopter of AWS services as a customer, and his current role at AWS uniquely blends his technical and business skills as he partners with executive teams to translate strategic priorities into measurable business outcomes through cloud adoption, AI implementation, and operational excellence. Matt leads end-to-end AI initiatives for enterprise customers, identifying high-impact use cases and maintaining relentless focus on measurable ROI. He holds eight AWS certifications and serves as Adjunct Professor at Franklin University teaching cloud computing and AWS architecture. His expertise encompasses GenAI, agentic AI systems, migration, modernization, and optimization strategies that drive transformation at scale. [https://www.linkedin.com/in/mattjorat/](https://www.linkedin.com/in/mattjorat/) Girish Bhatia: Girish Bhatia is a seasoned technology delivery leader with deep expertise in cross-domain program management. He holds multiple AWS certifications, including AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, and AWS Generative AI Practitioner, and is also an AWS Community Builder. Girish brings over two decades of experience in the information technology industry. Throughout his career, Girish has led major technology-driven business transformation from modernizing on-premises applications to driving large-scale cloud migrations. His work includes API-based integration platforms, data-center and mainframe modernization, and enterprise cloud adoption initiatives. Based in Columbus, Ohio, Girish works at a tech-forward fintech company. He is passionate about AWS serverless architectures, Generative AI and emerging cloud technologies. An avid learner and builder, he continues to explore and apply the latest innovations in AWS to help organizations accelerate their digital transformation. https://www.linkedin.com/in/girishbhatia/[https://www.linkedin.com/in/girishbhatia/](https://www.linkedin.com/in/girishbhatia/) **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

Salsamante Dance Academy will be at Swerve Every Tuesday Night to share the Rhythm & Energy of Bachata & Salsa. These are Beginner Level lessons to get you comfortable and understand the two dances. Spread the Good News to all. Swerve Dance & Fitness Complex 640 Lakeview Plaza Blvd A, Worthington, OH 43085 Bachata 7pm-8pm Salsa 8pm-9pm $15 - One Lesson $20 - Both Lessons

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/cbus-hug-2026/

Have a small business? Ever wish you could just ask some questions around how to grow your business, get more customers or just know what the freak you are doing with sales? Now is your chance!! Every month we are hosting the "Ask an Expert" at the Columbus Metro Library, Main campus. I will be there to answer your Sales related questions. Drop-in for sales coaching designed to help small business owners, entrepreneurs, and sales professionals sharpen their sales approach. Whether you have questions on how to refine your pitch, are looking to close deals more quickly, or are working on building better client relationships, Smashing Your Sales Goals Coaches are here to help. Drop-in to get expert insights, actionable strategies and real-time solutions to grow your business and generate higher profits. Drop-In Sales Coaching is FREE + OPEN to the public. No appointment needed. First come, first served. EPIC Learning created. Accelerate Columbus supported.

Come chat about Atlassian tools and best practices at the Nationwide Sunny Street Cafe and Breakfast is on Atlassian! Let's get the day started off with breakfast with your ACE Leaders! We're always excited to talk about Atlassian Products, share our knowledge and hand out swag! Come chat with us about new product news and anything you are working on within the Atlassian product stack. This is a great opportunity to come see what we are all about, hear new business news and share with other Atlassian users your questions and experiences. We'd love to see new and old friends come out to chat and learn about Atlassian! Agenda --- Moderators Kimberly Deal - Columbus Atlassian User Group Leader Kevin Stanley - Columbus Atlassian User Group Leader Hosted By Kimberly Deal, Atlassian User Group Leader Kevin Stanley, Chief Everything Greg Sprowls, Agility Lead --- Global Partner Atlassian (http://atlassian.com) Millions of users globally rely on Atlassian products every day for improving software development, project management, collaboration, and code quality. Partner Atlassian --- For over a decade, Atlassian customers have come together to network, share ideas, solve problems, and find new ways to use Atlassian products. Today, more than 15,000 people take part in Atlassian community events in more than 30 countries. --- Complete your event RSVP here: https://ace.atlassian.com/events/details/atlassian-columbus-presents-rise-and-shine-with-atlassian-downtownnationwide-22/.

Builders, creators, architects, admins, consultants - come one, come all. This one's for you. We're bringing a little friendly competition to the Columbus ServiceNow community while highlighting the cool things people have built on the platform. Five presenters will take the stage to showcase something they've built, solved, designed, or imagined on the ServiceNow platform - and a panel of judges (plus YOU, our amazing audience) will score them live. So basically, America's Got Talent but make it ServiceNow's Got Talent. Bring a notepad if you'd like 'cause you'll definitely be learning something new. Each presenter gets 10 minutes max to wow the crowd with: • A demo • A real-world business solution • A bold idea • A UX transformation • Or a creative use of the platform Judging Criteria: 🏆 Business Value 🚀 Innovation ✨ User Experience This event is about celebrating ideas, sharing knowledge, and showing how ServiceNow can drive both business impact and meaningful user value. Come learn. Come support. Come get inspired. Refreshments and bites will be provided. And maybe next time… you’ll be on stage.