Unconference: AI and ML for Software Engineers

From the same track

Session AI/ML

Deploy MultiModal RAG Systems with vLLM

Tuesday Apr 8 / 10:35AM BST

While text-based RAG systems have been everywhere in the last year and a half, there is so much more than text data. Images, audio, and documents often need to be processed together to provide meaningful insights, yet most RAG implementations focus solely on text.

Speaker image - Stephen Batifol

Stephen Batifol

Developer Advocate @Zilliz, Founding Member of the MLOps Community Berlin, Previously Machine Learning Engineer @Wolt, and Data Scientist @Brevo

Session AI/ML

How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data

Tuesday Apr 8 / 05:05PM BST

For autonomous vehicle companies, finding valuable insights within millions of hours of video data is essential yet challenging.

Speaker image - Kyra Mozley

Kyra Mozley

ML Engineer @Wayve, Previously Security & AI PhD Candidate @Royal Holloway University

Session AI/ML

AI for Food Image Generation in Production: How & Why

Tuesday Apr 8 / 01:35PM BST

In this talk, we will conduct a technical overview of a client-facing Food Image Generation solution developed at Delivery Hero.

Speaker image - Iaroslav  Amerkhanov

Iaroslav Amerkhanov

Senior Data Scientist @Delivery Hero, Founder of T4lky, Creator & Host of EPAM Podcast, Speaker

Session AI/ML

Foundation Models for Ranking: Challenges, Successes, and Lessons Learned

Tuesday Apr 8 / 02:45PM BST

Recommender systems are an integral part of most products nowadays and are often a key driver of discovery for users of the product.

Speaker image - Moumita Bhattacharya

Moumita Bhattacharya

Senior Research Scientist @Netflix, Previously @Etsy

Session AI/ML

Building Embedding Models for Large-Scale Real-World Applications

Tuesday Apr 8 / 03:55PM BST

Embedding models are at the core of search, recommendation, and retrieval-augmented generation (RAG) systems, transforming data into meaningful representations.

Speaker image - Sahil Dua

Sahil Dua

Senior Software Engineer, Machine Learning @Google, Stanford AI, Co-Author of “The Kubernetes Workshop”, Open-Source Enthusiast