Ahmad Abu Saleh

Contributed to pioneering the deployment of advanced AI/ML solutions to address real-world challenges across healthcare, government, and energy sectors. Designed and implemented large language models (LLMs) and GenAI-driven applications, automating complex manual processes and optimizing workflows at scale. Built and maintained scalable data pipelines and production-ready models using PyTorch, TensorFlow, and JAX, ensuring high accuracy, performance, and reliability. Collaborated with international government stakeholders to integrate AI into critical systems, modernize processes, and deliver measurable societal impact. Actively engaged in research-to-production translation, transforming cutting-edge breakthroughs into accessible, industry ready solutions. Demonstrated strong cross-functional skills by working alongside ex-founders, AI researchers, and engineers, while contributing to product development, strategy, and technical leadership in fast-paced, innovation-driven environments.

Responsible for the overall management and direction of all technical services functions associated with Artificial Intelligence (AI) and Machine Learning (ML) applications. The manager works within the Information Technology arena. Provides the strategic direction on compliance for the design, development, and implementation of AI models into operational workflows, including helping draft and review the procedures that support a compliance system. Additional responsibilities may include guiding AI teams with project planning, system architecture, risk management, verification & validation, and continuous monitoring. Consults with multiple stakeholders to help guide the enterprise's best practices, including data quality, good machine learning practices, and monitoring the effectiveness of AI models throughout their life cycle. A multidisciplinary approach that unifies key stakeholders and subject matter experts is a driver of the Manager AI role and responsibilities.

Proven experience in developing and executing comprehensive AI and data science strategies aligned with organizational goals and long-term vision. Skilled in leading end-to-end AI project management—from strategy and scope definition to deployment and post-implementation evaluation—while collaborating with cross-functional teams to optimize business processes. Expertise in building and deploying machine learning models for predictive analytics, NLP, and computer vision, with a strong focus on data quality, feature engineering, and scalable model integration. Adept at evaluating and implementing advanced tools, frameworks, and technologies to drive innovation and operational efficiency. Committed to continuous research on emerging AI trends and applying data-driven insights for business optimization. Strong understanding of data privacy regulations, risk management, and ethical AI practices.