AI Engineering in Practice: Real Challenges to Production Solutions - Virtual
โWe're excited to invite you to our next virtual meetup live streamed from Sydney @ Nutanix.
โ1-Click register required ๐ https://ksug.ai/online-23sep26
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โ๐ https://sessionize.com/ksug-au-syd
โ๐ Event Agenda
โFood, drinks and Socializing
โWelcome / Introductions by the Organizers @KSUG.AI
โTopic 1: From Demo to Prod: Building Reliable Software with AI
โTopic 2: Governing AI in Investment: From Data Integrity to Decision Accountability
โThis is a great opportunity to learn and network with our peers. Thanks to our sponsors Nutanix!
โ1-Click to register here to secure your spot! See you all there!
โ๐ Join our Discord and WhatsApp for latest update!
โโจ Event Highlights
โ๐ฏ Start with Real Business Problems
โExplore how to identify practical AI use cases from real user and business needs, then translate them into clear, testable product and engineering goals.
โ๐ ๏ธ Focus on Production Engineering
โUnderstand the challenges involved in moving from a prototype to a live application, including system architecture, data pipelines, model integration, evaluation, business workflows, and reliability.
โ๐ Build for Long-Term Operation and Scale
โLaunching an AI application is only the beginning. Learn how ongoing monitoring, cost management, performance optimisation, and iteration help systems support more users and evolving business needs.
โ๐ค Connect with Sydneyโs Tech Community
โMeet engineers, developers, product leaders, and AI practitioners from the local community. Exchange project experiences, discuss technical challenges, and explore opportunities to collaborate.
โ๐๏ธ Meet the Speakers
โMark
โSenior Data & AI Engineer @ Rainmakr.AI & Savana ETFs
โMark focuses on AI and data-driven applications in financial technology, designing and optimising data pipelines, cloud infrastructure, and AI-powered investment systems. He drives internal research and innovation, integrating large language models, agentic AI, and advanced analytics into investment research and operational workflows to improve automation and support better investment decisions.
โJunyi Men
โFounder & Engineer @ Proairesis
โJunyi combines a founderโs product perspective with an engineerโs technical approach to bring ideas to life. Her work connects product discovery with software development, bridging user needs and technical implementation to build useful products and applications.
โJignesh (Jiggy) Kakkad
โPrincipal AI Engineer / Software Engineering Lead @ Quantium
โJiggy brings experience across software engineering, artificial intelligence, and cybersecurity, with a focus on robust, scalable enterprise systems and cross-team technical leadership. His current work centres on large language models and retrieval-augmented generation (RAG), using Azure and the OpenAI API to integrate AI capabilities into enterprise platforms.
โBlaise Paradeza
โSenior AI Software Engineer @ Quantium
โBlaise focuses on production AI applications and full-stack systems. His current work includes conversational AI systems built with LangGraph and the Model Context Protocol (MCP). He also works across frontend and backend development, Kubernetes deployments, LiteLLM, Langfuse, cloud infrastructure, and CI/CD, bringing hands-on experience in deploying and operating AI systems in production.
โ๐ What Youโll Learn
โThrough the talks and discussions, weโll explore:
โHow to identify valuable, practical AI use cases
โHow to turn loosely defined AI ideas into clear product and engineering goals
โWhat it takes to move from prototypes and proofs of concept to production
โHow to build AI systems that are reliable, maintainable, and robust
โHow to integrate AI into existing products, platforms, and enterprise workflows
โHow to establish evaluation, quality control, and feedback mechanisms
โHow to balance accuracy, response time, operating costs, and user experience
โHow to address performance, reliability, and scalability challenges
โHow to improve AI applications through monitoring, feedback, and continuous iteration
โ๐ฅ Who Should Attend?
โThis event is for:
โAI and machine learning engineers
โSoftware engineers and solutions architects
โData engineers and data scientists
โTechnical leads and engineering managers
โAI product managers and digital transformation leaders
โFounders exploring practical AI applications
โTechnology professionals interested in AI engineering and production systems
โWhether youโre already building AI applications or exploring a move into AI engineering, join us for practical perspectives and conversations with people working in the field.
โ๐ฌ More Than a Technical Talk
โThis meetup is also a space for open, practical conversations within Sydneyโs AI and engineering community.
โBring a project youโre building, an engineering challenge youโre working through, or a question about applying AI. Connect with others facing similar challenges and explore how AI can be applied across different products, teams, and industries.
โ๐ ๐๐ง๐ ๐จ๐ข๐ง๐ ๐๐ข๐ฌ๐๐จ๐ฎ๐ง๐ญ๐ฌ:
โโธ 30% OFF Kubernetes Certs - Code: 30K8SUG
โธ 20% OFF FinOps Certs - Code: KSAI_20
โ๐๐ก๐ฒ ๐๐ ๐๐จ ๐๐ก๐ข๐ฌ:
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