PyData Warsaw #29 - Jawad Ali & Daniel Paddubny
18:00 - Jawad Ali, Telstra - "Staying Ahead with Azure AI: Tools and Opportunities for Emerging Tech Professionals"
About topic: Feeling overwhelmed by the AI landscape? Unsure where to begin your journey? In this practical session, Jawad will demystify the path to AI proficiency through Microsoft Azure's accessible platform. Whether you're a student seeking career direction, a professional looking to pivot into AI, or a startup founder eager to implement AI solutions, Jawad will help you to navigate this complex field using Azure AI.
Jawad will explore how Microsoft Azure's AI ecosystem enables individuals and startups to remain at the cutting edge of AI innovation. He'll demonstrate how Azure's constantly evolving toolset provides accessible pathways into the field without requiring enterprise-level resources. Drawing from his hands-on experience, Jawad will highlight practical applications of Azure's AI services, certification pathways that boost career opportunities, and implementation strategies that startups can leverage to compete with larger organizations. Attendees will leave with actionable insights on how to use Azure AI as a launchpad for their careers and ventures.
He'll break down Azure's AI certification pathway, demonstrate how these credentials translate to real-world opportunities. Attendees will discover how Azure's integrated tools can accelerate their learning curve and implementation timeline, making AI expertise achievable regardless of their starting point. For those interested in personalized guidance and consultation, Jawad offers AI consultation and mentoring specifically designed to fast-track your AI success.
About speaker: Jawad Ali is a Senior Machine Learning Engineer at Telstra with over 5 years of experience building AI-powered solutions. As a Microsoft Certified Azure Data Scientist Associate, he bridges the gap between advanced AI concepts and their practical implementation.
At Telstra, Jawad has engineered deep learning frameworks and predictive analytics solutions while mentoring technical teams on AI best practices. His recent research into agentic AI systems for mental health applications demonstrates his commitment to finding innovative uses for emerging technologies.
Jawad is an alumnus of the University of Leeds and the University of Oxford. His career journey from student to senior engineer makes him particularly well-positioned to guide others looking to enter and excel in the AI field. He is passionate about AI Consultation, mentoring technical teams and promoting optimized ML practices for individuals and companies alike.
18:45 - Daniel Paddubny, Intel/Parsera - "How to build your own RAG system in seconds"
About topic: There are many ways to build a modern AI-powered enterprise system, but the challenge lies in doing so efficiently, quickly, and cost-effectively—while also aligning with best practices and specific business needs. Daniel will discuss how a new open-source initiative tackles this challenge and demonstrate how it can be used to build AI systems.
About speaker: Daniel specializes in AI infrastructure with expertise in both infrastructure architecture and security protocols.
At Intel, he contributes to open-source initiatives focused on high-performance computing and enterprise AI systems. He is also a co-founder of Parsera, a startup that simplifies web scraping and data extraction using LLMs.
Thus, Daniel brings practical experience from both corporate and startup environments to his discussions of AI implementation.
Venue:
Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4
Room 3.12 (3rd Floor)
