Summary
Wajdan Ali is a quantitative analyst with nine years of hands-on experience applying machine learning, optimization and data engineering to power markets and trading. At Uniper he develops and validates optimization and valuation models for batteries, CAES and other flexible assets, automating data flows and testing pipelines to ensure reliable production deployment. He blends a strong ML and software engineering background—from deep learning research and real-time model serving to full-stack and serverless development—with practical energy-market expertise like short-term forecasting, aFRR bidding and portfolio nomination. Wajdan is comfortable turning messy market data into actionable strategies and clear stakeholder reports, and he consistently emphasizes test automation and code quality in analytics projects. Based in Siegen, Germany, he brings a rare mix of research rigor and production-grade engineering that speeds time-to-value for trading and dispatch operations. An understated strength is his track record of moving models from research prototypes into automated, audited pipelines used in live trading contexts.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science (Visual Computing), Master of Science - MS, Computer Science (Visual Computing) at Universität Siegen
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at National University of Sciences and Technology (NUST)
German, English, Urdu, burushaski