Anthonette Adanyin
I am a Lead Data Scientist with 5 years of experience deploying production ML and analytics systems across enterprise IoT, marketing technology and customer intelligence platforms. I hold an MSc in Artificial Intelligence, am AWS Certified, a BCS Member, and a published researcher in ethical AI with 150 citations. I mentor at Coding Black Females, organise with the PyData community. I speak about production machine learning, responsible AI and what it actually takes to build data science work that lands.
Session
Large language models dominate the AI conversation, but many real-world applications don’t need massive infrastructure or external APIs. This talk shows how Python developers can run Small Language Models (SLMs) locally using tools like Hugging Face Transformers, bitsandbytes, and lightweight RAG pipelines to build privacy-first AI systems that are faster, cheaper, and easier to deploy.