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Jillur Quddus

Chief Data Scientist & Principal Polyglot Software Engineer

Jillur Quddus

Jillur Quddus

Chief Data Scientist & Principal Polyglot Software Engineer

About Me

Jillur Quddus is a chief data scientist, principal polyglot software engineer and published author with over 12 years of hands-on experience in mathematically modelling, architecting and engineering distributed, elastic, low-latency, high-performance, ethical and secure artificial intelligence systems. Jillur is also the founder of HyperLearning AI, which he started with the aim of improving accessibility and diversity in the fields of 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, energy and utilities, law enforcement and banking, and has worked extensively across the world including in Japan, Singapore, Hong Kong, Malaysia, Australia and New Zealand.

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, Scala, Python, Spring Framework)
    • Data Science (Statistical Learning, Machine Learning, Deep Learning, NLP)
    • Applied Graph Theory (Apache TinkerPop, Distributed Graph Frameworks)
    • Distributed Computing (Distributed Compute & Storage, Streaming, NoSQL)
    • Common Data Platforms (Open Source Stack) and Architectural Patterns
    • Innovation and Rapid Prototyping
  • Languages
    • English
    • Japanese 日本語
  • Publications
  • E-Mail
  • Website