Seyedsajad Mirzababaei is a data science team lead based in Dubai with eight years of engineering experience and a strong record of turning research-grade models into production-grade services. He combines deep expertise in Python, PyTorch/TensorFlow, and time-series forecasting with practical systems skills (Django, DRF, Postgres, Redis, RabbitMQ) to deliver scalable ML and analytics platforms. His work spans advanced Transformer-based forecasting, ad monetization models, active learning strategies that improved precision, and architectural refactors that materially sped up feature delivery. A former TA in multiple CS subjects at top Iranian universities, he brings rigorous theoretical grounding alongside hands-on software development and experimentation (A/B testing, metric monitoring). Colleagues know him for clean, well-documented code and a collaborative approach that translates business needs into measurable analytical solutions. Outside work he’s a self-described lifelong learner and eclectic music fan, reflecting a habit of exploring diverse ideas beyond core specialization.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Isfahan University of Technology
Master's degree, Computer Software Engineering, 19.57, Master's degree, Computer Software Engineering, 19.57 at Sharif University of Technology
Contributions:2 commits, 1 push, 1 branch in 1 year 6 months
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