Malik Yass
@malikyass
Senior AI/ML engineer specializing in Generative AI, MLOps, and scalable data engineering solutions.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Lead AI Developer
Blitz Mobile Apps
Mar 2021 - Present (5 years 3 months)
Designed and deployed enterprise-grade NLP chatbots and real-time computer vision models, cutting support response time by 50% and achieving 95% accuracy in detection; championed MLOps practices and built CI/CD pipelines to reduce edge inference latency by 40%.
ML Engineer
InvoZone
Jan 2019 - Jan 2021 (2 years)
Built recommendation engines and large-scale data pipelines, improving user engagement and processing 10TB+ datasets; deployed ML microservices with Docker/Flask achieving 99.9% uptime and reduced training costs by 30% using spot instances and HPO.
Junior Data Scientist
Appinventiv Technologies
Feb 2015 - Dec 2018 (3 years 10 months)
Supported predictive models and customer segmentation pipelines for retail and e-commerce, reducing stockouts by 10% and enabling data-driven UI/UX and marketing decisions through dashboards and A/B testing.
Education
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Malik hasn't added their education
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