Melbourne MongoDB User Group #6

Welcome to the Melbourne MongoDB User Group!

The team at Slalom has kindly offered to host us for the evening at their office in Melbourne on Queen Street. Complimentary drinks and snacks, as well as some SWAG, will be available, proudly sponsored by the team at MongoDB.
We’re looking forward to seeing familiar faces and welcoming newcomers!

Please note that we have limited spots this time, so RSVP early. You will not be able to enter the building after 6 PM, so please be on time.

Registration

RSVP here to secure your spot!

Where?

Event Type: In-Person
Location: Level 17/100 Queens Street (Slalom Office)

Agenda

5:00 pm - Arrival & Networking
5:30 pm - Welcome
5:35 pm - David Evans & Nag Chirravuri (Bendigo Bank) on Intelligent Customer Search
6:00 pm - Arun Balasubramanian (Slalom) A Case Study on Streamlining Search, Analytics, and CDC
6:25 pm - Quiz & Swag
6:40 pm - Networking & Food

Speakers

David Evans

David Evans originating from the UK has an extensive background in digital and marketing technology having applied his trade at global multinationals and more local to home being Telstra and 7-Eleven. His battled hardened approach to data methodologies originated from establishing himself as a senior architect for SingTel’s advertising division. He is currently a data platform architect working for Bendigo Bank based at their Docklands office supporting them across a range of initiatives including customer master, martech stack uplift and GenAI capabilities.
Nag Chirravuri is an accomplished Solution Designer with extensive experience in developing, innovative and scalable solutions for business challenges. With a strong background in Telecom and Banking domains, he is passionate about leveraging the latest technologies to bridges the gap between technical requirements and business objectives. He is currently a solution designer working for Bendigo Bank crafting tailored solutions for customer master initiatives and also by designing microservices.
In their talk David and Nag will show how Bendigo Bank transitioned away from a traditional customer search approach to use machine learning to derive matching customer records to improve customer experience and reduce compliance challenges.

Arun Balasubramanian

He is a Senior Architect at Slalom _build with extensive experience working across AWS, GCP, and Azure, specializing in designing and developing cloud-native solutions. Arun’s expertise lies in building scalable, secure, and efficient cloud architectures, leveraging serverless technologies and modern cloud services to drive innovation and cost optimization.
In this talk, the customer’s existing AWS architecture, which includes custom-built components for Search, Analytics, and Change Data Capture (CDC), will be discussed. A comparison will be made with a proposed MongoDB-based implementation, which simplifies the architecture, reducing costs, effort, and the number of components that need to be managed. This comparison highlights how MongoDB can streamline complex processes, enabling businesses to focus on innovation rather than infrastructure.