Linda Mohamed

Principal Consultant @ EBCONT - Chairwoman Förderverein AWS Community DACH - AWS Hero

Bio

Linda has been navigating the tech landscape for over a decade. She is specialized in Cloud Technologies, IT Process Optimization, and Agile Methodologies. When she is not guiding companies on their cloud journey, she is diving into AI/ML Services and Technologies, and sharing her insights at AWS community events and other tech platforms.

Beyond her professional commitments, Linda is an AWS Community Hero and deeply involved in Women in Tech initiatives, advocating for greater representation and inclusivity. In Vienna, she is the familiar face behind AWS meetups and other community gatherings, creating a welcoming space where every voice is valued and heard. In addition, Linda holds the title of Chairperson for the AWS Community DACH Support Association and is member of the Funding Advisory Board of netidee.

Sessions

AIM401
From MacBook to Bedrock: Lessons from Building an AI Assistant
AI/ML GenAI

Training an AI-powered Slackbot sounds straightforward - until your model starts ignoring half of the data you feed it. At AWS User Group Vienna, we built OTTO, a Slack-integrated AI assistant, fine-tuned using the open source tool InstructLab and deployed on Amazon Bedrock.

But as we scaled up, we ran into real-world bottlenecks: training on MacBooks was slow, retrieval was inconsistent, and debugging was way harder than expected.

This talk goes beyond the ‘perfect AI stack’ and into the messy reality of model tuning, infrastructure choices, and the unexpected lessons we learned. If you’re working on AI-powered assistants (or just curious how fast things can go sideways), this talk will provide practical insights into our approach, with focus on cost efficiency, and what we learned on the way.

Linda Mohamed
Principal Consultant @ EBCONT - Chairwoman Förderverein AWS Community DACH - AWS Hero
Philipp Bergsmann
EMEA Black Belt, Managed OpenShift @ Red Hat