Dr. Kashif is a distinguished AI Research Scientist with over 8 years of specialized experience in natural language processing and large language model development. Currently serving as Senior AI Research Scientist at Axon, he has previously held key research positions at Hippocratic AI and completed postdoctoral research at Cedars-Sinai Medical Center. His expertise spans the full spectrum of AI development, from conducting large-scale pretraining of language models like the ALAYA-7B series to developing domain-specific applications in finance and healthcare. With deep technical knowledge in BERT, GPT, and transformer architectures, he has successfully led multi-node distributed training initiatives and pioneered innovative approaches in semantic analysis, knowledge graph construction, and multimodal AI systems across diverse international markets.
Dr. Umar is a distinguished AI Research Scientist with over 8 years of specialized experience in computer vision, generative AI, and multimodal machine learning. Currently serving as AI Research Scientist II at Axon, he has previously held key research positions at Meta as a PhD Intern working on LLAMA3 applications and multimodal capabilities, and at Samsung Research America developing advanced 3D AR/VR algorithms and diffusion-based video generation systems. His expertise spans cutting-edge AI domains including action recognition, adversarial robustness, continual learning, and anomaly detection, with deep technical knowledge in PyTorch, NeRF, Gaussian Splatting, and transformer architectures. With extensive research experience at UCF’s Center for Research in Computer Vision and internships at leading tech companies including Microsoft, he has successfully bridged theoretical computer vision research with practical industry applications in next-generation mobile and AR/VR technologies.
Dr Adeel Zafar is a dedicated Computer Science researcher with over 5 years of specialized experience in computer vision, deep learning, and scientific visualization. Currently pursuing his Ph.D. at the University of Houston while serving as a Research Assistant, he focuses on segmentation and extraction of physical structures from large-scale turbulent flow simulations using advanced computer graphics and deep learning techniques. His professional experience includes developing image algorithms at Mengbaby Inc. using PyTorch, Keras, and TensorFlow for object detection and image segmentation applications. With a Master’s degree from Shanghai Jiao Tong University where he received the Shanghai Government Scholarship, his expertise spans fluid flow visualization, computer vision systems, and data analytics. Having worked across diverse technical domains from banking database systems at Techlogix to data visualization at Teradata, he brings a multidisciplinary approach to solving complex computational problems in scientific computing and machine learning.
Dr Safa Nasir is an accomplished Senior Data Engineer with over 7 years of specialized experience in financial systems, regulatory reporting, and machine learning research. Currently serving as Senior Data Engineer at Citi, she builds robust data pipelines for critical CCAR regulatory reporting processes and ensures end-to-end compliance across Banking Book and Wholesale portfolios. Her expertise spans the full data engineering lifecycle, from developing cutting-edge Statistical & Regulatory Reporting solutions at Hubio Technology to optimizing equity reporting systems at Morgan Stanley, where she reduced SLA completion times by 50%. With a strong research background from Shanghai Jiao Tong University focusing on deepfakes and unsupervised video retargeting, she combines advanced machine learning knowledge with practical financial engineering skills. Her technical proficiency includes Python, SQL, AWS cloud services, and various database systems, enabling her to deliver scalable data solutions that drive key business decisions in high-stakes financial environments.
A Senior Solutions Architect with nearly a decade of experience and Data Scientist specializing in Generative AI, NLP, and advanced machine learning solutions. Skilled in AI at scale, deep learning, and cloud-native architectures, with a proven ability to design and implement scalable, secure, and business-driven AI systems that deliver measurable impact.
A results-driven AI practitioner with 5+ years of end-to-end experience architecting and deploying intelligent systems
across research and production environments. Specialized in Generative AI – spanning RAG pipelines, agentic
workflows, multimodal systems, and LLM-powered applications – with a strong foundation in classical deep learning
across NLP, computer vision, and anomaly detection. Proven ability to translate cutting-edge research into scalable,
cloud-native solutions on AWS, Azure, and GCP. Complements engineering depth with strategic and operational
acumen, having driven AI integration initiatives at both startup and enterprise scale.
SOZAN stands as a leading global data and AI consulting firm, specializing in data engineering, custom software engineering, and data science.
