Mujtaba Asif is Head of Data Science & AI with nearly a decade of hands-on experience turning computer vision and NLP research into production-grade systems. He has led cross-functional teams to deliver real-world impact—from cutting CO2 tracking and QC times in construction using LiDAR and BIM to enabling on-device image captioning that reduced monthly labeling costs by $339K. Mujtaba combines deep research credentials (publishing state-of-the-art action recognition work during his Grenoble lab tenure) with pragmatic engineering: he has repeatedly optimized pipelines and infrastructure to compress multi-day analyses into 24-hour deliveries. His expertise spans point-cloud perception, scenario cloning for autonomous driving, and scalable model deployment, and he frequently acts as technical lead, product owner and labeling lead on complex projects. Based in Grenoble and educated at Université Grenoble Alpes, he brings a rare blend of academic rigor and operational focus that accelerates ML from prototype to production. An unheralded strength is his track record of shrinking system costs and latency via model and process optimizations rather than just model accuracy improvements.
9 years of coding experience
7 years of employment as a software developer
Master of Science in Informatics Computer Science / Data Science, Master of Science in Informatics Computer Science / Data Science at Université Grenoble Alpes
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National University of Computer and Emerging Sciences
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