Fawaz Ghali is Principal Developer Advocate at Hazelcast with 20+ years of experience in software development, machine learning and real-time intelligent applications. He holds a PhD in Computer Science and has worked in the private sector as well as Academia as a Researcher and Senior Lecturer. He has published over 46 scientific papers in the fields of machine learning and data science. His strengths and skills lie within the fields of low latency applications, IoT & Edge, distributed systems and cloud technologies.

  1. Real-time Fraud Detection - Challenges and Solutions
    Berlin, Germany, EIC 2023, 12 May 2023
  2. Running Machine Learning Analytics On Traces
    Berlin, Germany, EIC 2023, 11 May 2023
  3. Maximizing Node.js Applications Performance using Hazelcast
    London, UK, CityJS 2023, 30 March 2023
  4. Real-time Stream Processing without Migraines
    GeoPython 2023, GeoPython 2023, 07 March 2023
  5. Running real-time machine learning analytics on traces
    Talence, France, PyCon Fr 2023, 25 February 2023
  6. Real-time Fraud Detection Challenges and Solutions
    Alpharetta, United States, SQL Saturday Atlanta 2023, 25 February 2023
  7. Human Mobility and Real-time Machine Learning at Scale
    Lisbon, Portugal, Global AI PowerPlatform, 25 February 2023
  8. Efficient Microservices Deployment in the CloudSolutions
    Montreal, Canada, ConFoo, 23 February 2023
  9. Scaling Real-time Machine Learning made Easy
    Montreal, Canada, ConFoo, 22 February 2023
  10. Real-time Stream Processing without Migraines
    Virtual, Java Dev Summit, 21 February 2023
  11. Real-time Stream Processing without Migraines
    Virtual, HPC-AI Advisory Council, 14 February 2023
  12. Best Practices For Real-Time Stream Processing
    Brussels, Belgium, FOSDEM 2023, 05 February 2023
  13. Running Real-time Stream Processing Analytics On Traces
    Brussels, Belgium, FOSDEM 2023, 04 February 2023
  14. Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
    Lyon, France, Lyon Java User Group - LyonJUG, 24 January 2023
  15. Scaling High-Performance Real-time Stream Processing Microservices
    Grenoble, France, Alpes JUG - LyonJUG, 23 January 2023
  16. Five Challenges in Real-time Stream Processing and Five Solutions
    Ohio, USA, CodeMash, 10 January 2023
  17. Real-time Fraud Detection Challenges and Solutions
    Frankfurt, Germany, Java User Group Frankfurt (JUGF), 07 December 2022
  18. High Performance Stream Processing in Kubernetes Made Easy
    Munich, Germany, DevOps Conference, 06 December 2022
  19. Online Feature Stores for Realtime Machine Learning
    Hull, UK, DDD North, 03 December 2022
  20. Maximizing Node.js Applications Performance using Hazelcast
    Lodz, Poland, 4developers, 29 November 2022
  21. Best Practices for Building High Performance Real-time Stream Processing Microservices
    Nice, France, Riviera JUG, 22 November 2022
  22. Best Practices for Building High Performance Real-time Stream Processing Microservices
    Marseille, France., Marseille JUG, 21 November 2022
  23. Real-time Stream Processing in Kubernetes using Hazelcast
    Istanbul, Turkey, Turkey Java Community, 17 November 2022
  24. Hazelcast Real-time Machine Learning Challenges and Solutions.
    Ankara, Turkey, Turkey Java Community, 16 November 2022
  25. Elastically scale .NET caching to meet your real-world needs
    Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022
  26. Five Challenges in Real-time Stream Processing and Five Solutions
    Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022
  27. Running Machine Learning Analytics On Traces
    Belgrade, Serbia, Heapcon, 04 November 2022
  28. Best Practices for Real-time Stream Processing
    Göteborg, Sweden, Javaforum Göteborg, Sweden, 02 November 2022
  29. Scaling Real-time Machine Learning made Easy with Hazelcast
    Utrecht, the Netherlands, Blipz on the Rada, 01 November 2022
  30. Best Practices for Real-time Machine Learning
    Porto, Portugal, Porto Tech Hub Conference, 27 October 2022
  31. Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
    Lyon, France, Lyon Java User Group, 25 October 2022
  32. Real-time Fraud Detection - Challenges and Solutions
    Prague, Czech Republic, GeeCon 2022, 25 October 2022
  33. Hazelcast Powers Real-Time Fraud Detection
    Manchester, UK, JManc unconference, 22 October 2022
  34. Best Practices for Human Mobility and Real-time Machine Learning
    Chicago, IL, US, ClueCon 2022, 20 October 2022
  35. Real-time Fraud Detection - Challenges and Solutions
    Berlin, Germany, Predictive Analytics World, 06 October 2022
  36. A Systematic Literature Review and Meta-Analysis of Event Streaming in Academia
    Austin, Texas, Kafka Summit Current 2022, 04 October 2022
  37. Five Challenges in Real-time Stream Processing and Five Solutions
    Chicago, Illinois, United States, JConf.dev 2022, 27 September 2022
  38. Hazelcast Viridian Efficient Microservices Deployment in the Cloud
    Chicago, Illinois, United States, Foojay Day, 26 September 2022
  39. Scaling Real-time Machine Learning made Easy with Hazelcast
    London, UK, Big Data London, 21 September 2022
  40. Real-time Stream Processing in the Cloud Challenges and Solutions
    Austin, TX, Developer Week, 14 September 2022
  41. Effective Real-time Stream Processing Made Easy with Hazelcast
    Wroclaw, Poland, Wroclaw JUG, 13 September 2022
  42. Real-time Stream Processing in Spring Made Easy with Hazelcast
    London, UK, London Java Community, 25 August 2022
  43. Elastically scale .NET caching to meet your real-world needs
    Liverpool, UK, .NET Liverpool, 28 July 2022
  44. Best Practices for Real-time Stream Processing using the Hazelcast Open-source Platform
    Istanbul, Turkey, İstanbul Coders, 19 July 2022