Muhammad Amanat is a Senior Solution Architect (Data & AI) with 9 years of experience designing and delivering production-grade data, ML and big data solutions across finance, retail, fashion and energy from Dubai. He leads teams to modernize data platforms—frequently on Databricks, AWS and Azure—building lakehouse architectures, ETL pipelines processing terabyte-scale data and recommendation and forecasting models serving hundreds of thousands of users. Comfortable across the stack, he blends hands-on PySpark/Databricks engineering, MLOps with MLflow, and deep learning frameworks like TensorFlow to turn research into cost-saving production systems. A proven practitioner who has presented Databricks webinars and contributes to open source, he also has a master’s in computer science and a track record of reducing tool sprawl by consolidating pipelines onto single platforms.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.7, Master's degree, Computer Science, 3.7 at University of Engineering and Technology, Lahore
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Computer and Emerging Sciences
Contributions:85 PRs, 115 pushes, 10 branches in 1 month
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Muhammad Amanat - Sr. Solution Architect (Data & AI)