Jalal Tabatabaee is a data engineer and senior machine learning practitioner with nine years of experience building production-grade ML systems across computer vision, NLP, EDA, and LLM workflows. He has led end-to-end projects—from literature review and feature engineering to deployment and monitoring—delivering scalable REST APIs and edge SDKs with strong performance and model-drift safeguards. Notable achievements include a 97% accurate zero-shot eKYC system deployed to multiple banks, an 87% SDK size reduction by porting MediaPipe modules to Java, and a 62% accuracy boost for an OCR meter-scanner through iterative fine-tuning. Comfortable in Agile teams and stakeholder-facing roles, he also contributed meaningful features to the popular Label Studio project, demonstrating both production focus and open-source collaboration. Based in Berlin, he combines deep engineering rigor with practical MLOps practices that shorten time-to-value for data-driven products.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering, Computer Science, Master of Engineering, Computer Science at Gisma University of Applied Sciences
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.