Mohammad Nadeem

I am a Lead Data and Machine Learning Engineer with a decade of experience designing and scaling end-to-end AI and data solutions across fintech, SaaS, and enterprise domains.

I build MLOps frameworks, cloud-native data pipelines, and production ML systems on AWS, Azure, and GCP, and I have delivered measurable results such as improving data velocity by 45% and model accuracy by 30%.

My work includes designing Retrieval-Augmented Generation platforms, multimodal AI copilots, and high-throughput ETL pipelines using tools like LangChain, Pinecone, Spark, MLflow, Kubeflow, and Airflow.

I emphasize reliability, fairness, and cost optimization in production — I have standardized model monitoring, led company-wide AI adoption, mentored engineers, and co-authored internal best-practice guidance on Responsible AI.