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