Husam Abu-Haimed

================================== Qualifications: ================================== ○ PhD in Electrical Engineering and Computer Science from Stanford University (2004). GPA: 4.0/4.0. ○ 19 years of experience in leading R&D projects in Machine Learning, Computer Aided Design, Combinatorial Optimization, Advanced Algorithms, and Software Design. ○ CFA (Chartered Financial Analyst) Level III Candidate. ================================== Areas of Expertise: ================================== ○ Deep Learning for Computer Vision: Object Detection, Instance Segmentation, Semantic Segmentation, Depth Estimation, Vision Transformers. ○ Language Models: From scratch implementation and training of Transformer-based Language Models, Multi-Modal Language Models. ○ Software: Industrial Scale Software Development. Programming Languages: advanced in C/C++ (14+ years of experience); proficient in Python. ○ ML frameworks: PyTorch. ================================== Select Recent Projects: ================================== ○ Single-handedly implemented and trained the industry’s most accurate real-time Object Detection model (as of October 2023). ○ Principal Investigator of the joint effort between Airbus and EASA (European Union Aviation Safety Agency) in establishing and formalizing the process of testing and certifying Machine Learning models for Autonomous Aircrafts. (2021-2023) ○ Built the framework for training, testing, and deploying Perception models for Autonomous Airplanes at Airbus.