Summary
Albert Kahira is an Associate Principal AI Engineer with nine years of experience building scalable AI and HPC-enabled machine learning systems, currently driving AI workflow development at AstraZeneca. He holds a PhD from UPC/BSC where he focused on scalability and resilience for large-scale AI, and has a track record porting ML workloads to accelerators and developing FPGA BLAS at Forschungszentrum Jülich. Albert combines deep research experience in distributed training on supercomputers with practical cloud-native AI infrastructure design, making him adept at bridging lab prototypes to production drug-discovery workflows. He leads Datawise Africa to strengthen AI and data infrastructure across the continent and founded Sisi Academy to nurture STEM talent in Lamu, showing a commitment to capacity building beyond tech. Notably, his background includes creating paraDL-style tools for characterizing large-scale training and working on fault-tolerance in neural networks—skills that help optimize reliability and performance in high-stakes scientific computing. Based in Barcelona, he blends academic rigor with industry impact, focusing on distributed computing, emerging AI hardware, and high-performance solutions.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at Abdullah Gül University
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Erciyes University
UPC Universitat Politècnica de Catalunya
Turkish, English, Swahili, Spanish, Kikuyu