Muhammad Umer

I am an AI Engineer and Machine Learning Engineer with 4+ years of experience building and deploying scalable ML solutions across AI SaaS, FinTech, and healthcare domains. I design end-to-end pipelines, from feature engineering to real-time inference, with a focus on reliability and production readiness.

I have built predictive models, fraud detection systems, RAG and generative AI applications using frameworks such as PyTorch and LangChain, and I deploy and scale models on cloud platforms including Amazon Web Services. My work emphasizes model robustness, drift detection, adversarial testing, and continuous performance monitoring.

I collaborate closely with data engineers, product managers, and developers to translate complex business requirements into compliant, enterprise-grade ML systems that drive data-informed decisions in high-volume environments.