Web Hosting

Are you ready to enjoy warmer spring evenings together again? We are, and that’s why we’re inviting you to our next Data & AI Engineering [applydata](https://applydata.io) Meetup, taking place at our Bucharest office on the 14th May. **Bogdan Beda:** ***"Beyond Syntax: The Evolving Role of the Software Engineer in the AI Era"*** [Bogdan Beda](https://www.linkedin.com/in/bogdan-beda/) is a Principal Software Engineer at [Microsoft](https://www.linkedin.com/company/microsoft/), working on \*Copilot for Work\* backend, on a non-deterministic product using a codebase that is increasingly being generated by AI. In his presentation, Bogdan will explore the new essential toolkit for the AI era – moving beyond basic prompt engineering to mastering product development, from system design decisions to validating outputs. **Costin Vilcu: *"SOC Transformation in the AI Era"*** [Costin Vilcu](https://www.linkedin.com/in/costin-vilcu-oscp-pentester/) is an Information and Network Security Professional with 20+ years of experience, passionate about Penetration Testing, Security Consulting, Teaching and Social Communication. Costin's presentation explores how Security Operations Centers (SOCs) must evolve in the age of AI, from reactive monitoring to intelligent, autonomous threat detection and response. **Dana Juncu: *"The Invisible Threat: How a Sticker on a Traffic Sign Could Compromise Autonomous Vehicles"*** [Dana Juncu](https://www.linkedin.com/in/danajuncu/) is a Senior Product Manager at [Diconium](https://www.linkedin.com/company/diconium/posts/?feedView=all), working at the intersection of data, engineering, and product, owning end-to-end delivery of labeled datasets for ADAS & autonomous driving systems. In her presentation, Dana will cover why AI security is fundamentally different from traditional software security and what it actually takes to build robust, trustworthy AI in safety-critical domains. If you're curious, you can read more about the importance of Data Labeling in her previous blog articles: [Data Labeling as Continuous Service](https://applydata.io/data-labeling-as-a-continuous-service/) & [Traffic Sign Recognition at Scale](https://applydata.io/traffic-sign-recognition-at-scale-why-the-dataset-is-the-hard-part/) **What to expect:** * Three expert talks * Networking opportunities in our historical villa office * Some snacks & drinks **Timetable:** * 18:30 - Event admission * 19:00 - Welcome & introduction * 19:05 - First speaker * 19:30 - Second speaker * 20:00 - Third speaker * 20:30 - Connect & chat ✧ ✧ ✧ **Our goal is to form a local data-loving community, so join us and let's talk data together!** ✧ ✧ ✧ *At the event, sound, image and video recordings are created and published for documentation purposes as well as for the presentation of the event in publicly accessible media, on websites and blogs and for presentation on social media. By participating the event, the participant implicitly consents to the aforementioned photo and/or video recordings. Find [more information on data protection here](https://applydata.io/events/information-on-data-protection/).*

Our monthly PHP meetup. A virtual shindig courtesy of Zoom. Check back here for the details around 6:15 pm

**TBA**

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

**TBA**

**TBA**