About Me
Jillur Quddus is a chief data scientist, principal polyglot software engineer and published author who specialises in the mathematical & technical design and engineering of innovative, scalable, 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 expertise in applying artificial intelligence to disease modelling, digital healthcare, and combatting serious organised crime, cyber-enabled crime, financial crime and fraud. Furthermore, he has significant and award-winning experience 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 extensive experience of working within central and local government, healthcare, intelligence and law enforcement, and has worked extensively across the world including in Japan, Singapore, Hong Kong, Malaysia, Australia, New Zealand and the United Kingdom.
計算数学者のJillur(ジラー)は、重大組織犯罪、金融犯罪、詐欺、サイバー犯罪と対抗することを目的とした、注目の最先端解析およびデータに関する技術ソリューションを設計・開発する仕事に世界中で従事してきました。日本、ニュージーランド、シンガポール、マレーシア、香港、英国と、長年の経験があります。
Core Skills
- Software Engineering
Java • Spring Framework • Python • Golang (Go) • JavaScript • Node.js • SQL • Gremlin • Linux • Shell Scripting - Distributed and Parallel Computing
Apache Spark • Dask • PyTorch • TensorFlow • Apache TinkerPop • Apache Kafka • RabbitMQ • NoSQL • Elasticsearch - Data Science and Artificial Intelligence
Statistical Learning • Machine Learning • Deep Learning • Graph Theory • Natural Language Processing - Public Cloud
Amazon Web Services (AWS) • Google Cloud Platform (GCP) • Google Firebase • Elastic Cloud • Linode
Selected Professional Experience
- Joint Biosecurity Centre - Lead Data Scientist
Jillur led an expert team of globally-leading mathematicians, epidemiologists and technology professionals responsible for modelling the global transmission of COVID-19, and simulating & evaluating the impact of non-pharmaceutical interventions (NPIs) through the development of bleeding-edge machine learning-powered disease modelling systems, where the resultant data products were directly consumed by members of the Scientific Group for Emergencies (SAGE) and the Chief Medical Officer (CMO) for England in order to better protect public health. - Government (UK) - Lead Artificial Intelligence Engineer
Jillur led an expert team of intelligence officers, analysts and subject matter experts responsible for combatting Dark Web-enabled serious organised crime, including child sexual exploitation & abuse (CSEA) and human trafficking, through the analysis of anonymous decentralised networks and cryptographic protocols. - Local Government (UK) - Lead Data Scientist & Java Engineer
Jillur designed and built an award-winning artificial intelligence system capable of automatically detecting, classifying and prioritising cases of potholes and fly-tipping in real-time through the development of a bespoke deep convolutional neural architecture and neural interface capable of processing images at 45fps with less than 25ms latency delivering up to 40 detection events per second, integrated with a bespoke Android mobile app and GPS location services.
Selected Free & Open Source Projects
- OntoSpark - Project Owner & Lead Software Engineer
Visualise, explore and semantically query ontologies.
Website - DDaT Ontology - Project Owner & Lead Software Engineer
An ontological model of the Digital, Data and Technology (DDaT) profession, including an automated parser and modeller of the CDDO DDaT professional capability framework website.
Website • Source Code • License - Python Taster Course - Project Owner & Lead Software Engineer
A fun and interactive introduction to both the Python programming language and basic computing concepts using programmable robots.
Website • Source Code • License
Publications
- Machine Learning with Apache Spark
Uncover patterns, derive actionable insights and learn from big data using MLlib.
Amazon • Google Play • Waterstones
Languages
- English • Native
- Japanese 日本語 • Advanced (日本語能力試験 JLPT N2)
- Chinese Cantonese 廣東話 • Conversational