Jillur Quddus
Founder and Chief Data Scientist
About Me
Founder and Chief Data Scientist
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, computer science 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.
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
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Software Engineering
Java, Scala, Python, Spring Framework, SQL, Linux Shell Scripting
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Data Science
Statistical Learning, Machine Learning, Deep Learning, Natural Language Processing
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Applied Graph Theory
Network Analysis, Apache TinkerPop, Distributed Graph Computing Frameworks
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Distributed Computing
Distributed Compute and Storage, Streaming, NoSQL databases
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Common Data Platforms
Design Patterns, Open Source Stack, Amazon Web Services (AWS), Microsoft Azure
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Innovation and Rapid Prototyping
Hypotheses-driven innovation, Prototyping, Research and Development
Publications
- Machine Learning with Apache Spark
Selected Projects
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Joint Biosecurity Centre (UK)
Principal Data Scientist
Modelling the global transmission of COVID-19, and simulating and evaluating the impact of non-pharmaceutical interventions including local lockdown measures.
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Government (UK)
Lead Artificial Intelligence Engineer
Combatting Dark Web-enabled serious organised crime, including the analysis of anonymous decentralised networks and cryptographic protocols.
My Courses
Data Science, Software Engineering and Data Engineering
Career Pathway | Level | Course |
---|---|---|
Data Scientist | Beginner | 1.1. Introduction to Python |
Data Scientist | Beginner | 1.2. Python for Data Analysis |
Data Scientist | Beginner | 1.3. Linear Algebra |
Data Scientist | Intermediate | 2.1. Statistical Learning |
Data Scientist | Intermediate | 2.2. Applied Machine Learning |
Data Scientist | Intermediate | 2.3. Distributed Machine Learning |
Data Scientist | Advanced | 3.1. Applied NLP |
Data Scientist | Advanced | 3.2. Applied Graph Theory |
Data Scientist | Advanced | 3.3. Real-Time Machine Learning |
Data Scientist | Expert | 4.1. Introduction to Deep Learning |
Data Scientist | Expert | 4.2. Applied Deep Learning |
Data Scientist | Expert | 4.3. Deep Learning for NLP |
Software Engineer | Beginner | 1.1. Introduction to Python |
Software Engineer | Beginner | 1.2. Introduction to Java |
Software Engineer | Beginner | 1.3. Object Oriented Programming |
Software Engineer | Intermediate | 2.1. Object Mapping |
Software Engineer | Intermediate | 2.2. Test Driven Development |
Software Engineer | Intermediate | 2.3. CI/CD |
Software Engineer | Advanced | 3.1. Introduction to Spring Boot |
Software Engineer | Advanced | 3.2. Web Application Development |
Software Engineer | Advanced | 3.3. REST API Development |
Data Engineer | Beginner | 1.1. Introduction to Python |
Data Engineer | Beginner | 1.2. Python for Data Analysis |
Data Engineer | Beginner | 1.3. Introduction to Java |
Data Engineer | Beginner | 1.4. Object Oriented Programming |
Data Engineer | Intermediate | 2.1. Object Mapping |
Data Engineer | Intermediate | 2.2. Test Driven Development |
Data Engineer | Intermediate | 2.3. CI/CD |
Data Engineer | Advanced | 3.1. Distributed Data Engineering |
Data Engineer | Advanced | 3.2. Real-Time Data Processing |
Data Engineer | Advanced | 3.3. Real-Time Machine Learning |