Jillur Quddus

Founder and Chief Data Scientist • HyperLearning AI

Jillur Quddus
Jillur Quddus
Founder & Chief Data Scientist

About Me

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.

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 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

Selected Projects

  • 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.

Publications

  • Machine Learning with Apache Spark
    Uncover patterns, derive actionable insights and learn from big data using MLlib.
    AmazonGoogle PlayWaterstones

Languages

  • English • Native
  • Japanese 日本語 • Advanced (日本語能力試験 JLPT N2)
  • Chinese Cantonese 廣東話 • Conversational