Name: Contributing to LLM Systems as a Non-Engineer: The Human Side of AI
Start: 2025-07-11T17:00:00+01:00
End: 2025-07-11T19:00:00+01:00

Get ready for an exciting PyData Glasgow meetup this July! 🌟
This month, we’re exploring the fascinating world of **Large Language Models (LLMs)** — how they’re reshaping data workflows, and how everyone, including non-engineers, can play a role in advancing these powerful systems.
Here’s what to expect:
🔹 **Using LLMs to Power Exploratory Data Analysis**
*Speaker: Toluwaleke O.*
Discover how LLMs can revolutionize the way we explore and interpret data, making analysis faster, easier, and more intuitive.
🔹 **Contributing to LLM Systems as a Non-Engineer: The Human Side of AI**
*Speaker: Nwaamaka Iduwe, MSc.*
Peek into the essential contributions non-engineers can make to LLM systems, and why diverse skills are critical in AI development.
📅 **Date:** 11th July, 2025
🕔 **Time:** 5:00 PM GMT
📍 **Location:** Online via Zoom

Tolu

PyData Glasgow

PyData

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Technology

High Scalability Computing

Data Visualization

Data Mining

Data Science

Data Science using Python

Statistical Computing

AI Algorithms

Machine Learning

Open Source Python

Big Data

Data Engineering

Data Analytics

Nwaamaka Iduwe is a Business Intelligence Analyst at Microsystems International UK, where she specialises in helping businesses harness data to develop strategies that achieve their goals. With a strong foundation in Business and Finance, she brings a unique blend of analytical expertise and commercial acumen to every project. 

She holds a Master’s degree in Accounting and Finance and a Bachelor’s degree in Business Management from the University of Essex, where she distinguished herself with multiple scholarships and awards. Her passion for research spans data science, machine learning, and digital currencies, demonstrated through numerous projects, certifications, mentorships, and publications.

With her deep expertise and commitment to continuous innovation, Nwaamaka is dedicated to empowering organisations with data-driven strategies that optimise performance and foster sustainable growth.

Contributing to LLM Systems as a Non-Engineer: The Human Side of AI

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Sponsors

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Sponsors

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