Jillur Quddus is a chief data scientist, principal polyglot software engineer and published author who specialises in the mathematical and technical design and engineering of distributed, elastic, low-latency, high-performance, ethical and secure artificial intelligence (AI) systems. Jillur is also the founder of HyperLearning AI which he started with the aim of ensuring that AI delivers real and positive social impact, as well as improving accessibility and diversity in the fields of applied mathematics, scientific computing and artificial intelligence.
Jillur has deep experience of applying artificial intelligence to combat serious organised crime, cyber-enabled crime, financial crime and fraud, as well as designing and engineering bespoke deep neural architectures embedded within smart devices via low-latency real-time neural interfaces applied to a range of exciting and innovative use cases including smart cities, predictive maintenance and asset failure. Jillur has significant experience of working within central and local government, intelligence, law enforcement and energy & utilities, and has worked extensively across the world including in Japan, Singapore, Hong Kong, Malaysia, Australia, New Zealand and the UK.
- Software Engineering
Java 8, 11 • Spring Framework • Python • GitHub Actions • SQL • Gremlin • Linux
- Distributed Computing
Apache Spark • TensorFlow • Apache TinkerPop • Apache Kafka • RabbitMQ • NoSQL • Elasticsearch
- Data Science
Statistical Learning • Machine Learning • Deep Learning • Graph Theory • Natural Language Processing
- Public Cloud
Amazon Web Services • Microsoft Azure • Elastic Cloud • Linode
- Joint Biosecurity Centre - Principal Data Scientist
Modelling the global transmission of COVID-19, and simulating and evaluating the impact of non-pharmaceutical interventions.
- Government (UK) - Lead Artificial Intelligence Engineer
Combatting Dark Web-enabled serious organised crime, including the analysis of anonymous decentralised networks and cryptographic protocols.
- English • Native
- Japanese 日本語 • Advanced (日本語能力試験 JLPT N2)
- Chinese Cantonese 廣東話 • Conversational