Malik Yass

I am a Senior AI/ML engineer with over 10 years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I combine research-driven innovation with production-focused engineering to deliver measurable business impact.

At Blitz Mobile Apps I led the design and deployment of enterprise NLP chatbots and real-time computer vision models, reduced customer support response time by 50%, and cut edge inference latency by 40% through model optimization. I also championed MLOps best practices by building CI/CD pipelines with AWS SageMaker and GitHub Actions.

Earlier roles include building recommendation engines, processing multi-terabyte datasets with Spark and Pandas, deploying resilient ML microservices, and improving fraud detection systems. I have published research on federated learning and presented applied NLP work at industry conferences.

I mentor and lead cross-functional teams, emphasize model explainability and fairness, and design scalable ETL and data lakehouse architectures to support production ML at scale. I seek roles where I can drive AI transformation from research to enterprise deployment.