Babs Khalidson
Deep Learning Architect at University of Cambridge
England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolBabs Khalidson is a Deep Learning Architect with six years’ experience building and deploying production-grade AI systems, currently driving LLM fine-tuning, RAG and multi-agent solutions at the AWS Generative AI Innovation Centre. Previously as Machine Learning Lead at CMC Markets, he delivered fintech-focused AI features from Bayesian churn models to production LLMs for US stock categorisation, blending probabilistic rigor with pragmatic product delivery. He holds an MSc in Artificial Intelligence (Distinction) from the University of St Andrews, where his medal-winning dissertation applied deep learning to EEG-based attention detection. Comfortable at the intersection of research and engineering, Babs designs scalable model deployment pipelines and domain-specific retrieval architectures that unlock business value. He also teaches workshops on multi-agent systems at Cambridge, reflecting a knack for translating advanced concepts into hands-on practice. Colleagues describe him as curious and commercially-minded—equally at home tuning priors for churn prediction or orchestrating complex model ensembles in cloud-native environments.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MSc Artificial Intelligence, Master of Science - MSc Artificial Intelligence at University of St AndrewsHigh School IEB National Senior Certificate Diploma, High School IEB National Senior Certificate Diploma at St Stithians College, South AfricaNanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at UdacityBachelor of Science (B.Sc.) Biomedical Sciences, Bachelor of Science (B.Sc.) Biomedical Sciences at Durham University
English, French
Github Skills (82)
yahoo10
yahoo-finance-api10
stock-data10
predict10
financial-data10
yahoo-finance10
pandas9
api9
nlp9
python9
flask9
pytorch9
machine-learning9
finance9
oscillator8
Programming languages (4)
Github contributions (5)
Khalizo/Deep-Learning-Detection-Of-Alzheimers
Feb 2020 - Aug 2022
Contributions:2 commits, 4 pushes in 2 years 6 months
Khalizo/Deep-Learning-Detection-Of-EEG-Based-Attention
May 2020 - Feb 2023
This project is to predict users’ attention and cognitive load through EEG signals during their reading
Contributions:70 commits, 3 pushes in 2 years 8 months
pythondeep-learningmachine-learningcognitivepredict
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