Faisal S
Principal Data Scientist
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolFaisal S is a Principal Data Scientist based in Bengaluru with five years of hands-on experience building generative AI and ML solutions across industry leaders like Red Hat and Bosch. He combines deep learning, NLP, and knowledge graph expertise with a strong software engineering background in Java and Android, enabling production-grade AI deployments and robust analytics. At Red Hat he moved from Senior to Principal roles while contributing to CI/CD and chaos-testing automation for OpenShift release tooling, highlighting a rare blend of model science and platform reliability. Holding an MSc in AI/ML from LJMU and a postgraduate diploma from IIIT Bangalore, he bridges academic rigor with practical delivery, often focusing on integrating observability and performance metrics into ML workflows. Colleagues describe him as someone who translates complex research into maintainable systems and anticipates failure modes before they surface in production.
5 years of coding experience
9 years of employment as a software developer
Post Graduate Diploma Machine Learning & Artificial Intelligence, Post Graduate Diploma Machine Learning & Artificial Intelligence at International Institute of Information Technology BangaloreMaster's degree Artificial Intelligence and Machine Learning, Master's degree Artificial Intelligence and Machine Learning at Liverpool John Moores UniversityBurn Hall School
Stackoverflow
156reputation
17kreached
3answers
5questions
Github Skills (26)
kubernetes10
docker10
testing10
bash10
dockers10
automation10
openshift10
kubernetes-pods10
automations10
amazon-elasticsearch9
aws-elasticsearch9
elasticsearchquery9
elasticsearch-api9
elasticsearch9
python8
Programming languages (4)
Github contributions (5)
openshift/release
Jun 2023 - Mar 2025
Release tooling for OpenShift
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:64 reviews, 45 PRs, 558 comments in 1 year 10 months
Contributions summary:Faisal primarily contributed to the CI/CD pipeline and automation of OpenShift release tooling, focusing on the integration and testing of various chaos scenarios. They implemented new test cases and scenarios for different disruption types, including network, pod, and node failures. Furthermore, they worked on integrating Elasticsearch paths and environment variables, showing a focus on automating testing workflows and integrating performance metrics.
continuous-deploymentkubernetesopenshifttooling
shahsahil264/krkn
Jul 2023 - Mar 2025
Contributions:38 pushes, 7 branches in 1 year 8 months
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