Professional Profile

Eng. UthmanAwad

Expert in Civil & Geomatics Engineering, Project Management, Quantity Surveying, and Engineering AI Applications

A distinguished Geomatics Engineering graduate from the University of Khartoum (2007), holding a versatile academic and professional record that merges core engineering precision with financial management and construction economics expertise, earned through a Bachelor’s degree in Quantity Surveying from Birmingham City University (UK).

My career trajectory bridges traditional engineering practice with digital transformation and innovation. I advanced my computer science proficiency through specialized coursework at Harvard University (USA) and focused on Artificial Intelligence, Machine Learning, as well as Supervised and Reinforcement Learning algorithms at Stanford University.

I leverage this unique interdisciplinary synergy between engineering and advanced technology to drive intelligent engineering solutions, optimize project management efficiency and cost control, and automate complex engineering workflows using modern programming languages to empower the construction and integrated engineering sector.

Academic Credentials

BSc in Geomatics / Surveying Engineering

Institution: University of Khartoum

Graduation Year: 2007

Focus: Fundamental geodetic and engineering principles, control networks, spatial planning, and structural comprehension of major infrastructure projects.

BSc in Quantity Surveying

Institution: Birmingham City University – United Kingdom

Focus: Construction economics, engineering contract management, cost estimation, budget control, and high-efficiency quantity management for construction projects.

Advanced Studies & Tech Stack

Computer Science (Modular Program)

Institution: Harvard University – United States

Core Competencies: Building strong programming fundamentals, data structures, and software engineering principles to design supporting tools and systems for the engineering sector.

Artificial Intelligence & Machine Learning

Institution: Stanford University – United States

Core Competencies: Advanced study of intelligent algorithms, Supervised Learning, Reinforcement Learning, and their real-world applications in enhancing engineering decision-making and data forecasting.

Core Engineering Competencies

Financial Management & Construction Economics: Preparation and management of Bill of Quantities (BOQ), cost estimation, and waste reduction in engineering projects.

Engineering Automation & Digital Transformation: Scripting and software tool development to automate engineering workflows and process Big Data within the construction sector.

Spatial & Data Modeling & Analysis: Integrating engineering datasets with mathematical models and AI to optimize detailed execution design.

Engineering AI Applications: Utilizing machine learning algorithms for risk analysis, operational performance optimization, and predictive accuracy improvement in engineering projects.