Dynamic and certified AI Engineer with a strong Computer Engineering background, recognized for leveraging cutting-edge AI and cloud computing technologies to solve complex challenges. Proven ability to drive digitalization initiatives, enhance operational efficiency, and create transformative impacts across diverse industries. Committed to optimizing processes and improving decision-making through innovative AI solutions.
AI Agent Development, Deep Learning, Machine Learning, Generative AI, Large Language Models (LLMs), Pytorch, Langchain, MetaFlow, MLFlow, Crewai, OpenAI.
AWS, Amazon Sagemaker, Cloud Integration, Digital Processes.
Embedded Systems, Microcontrollers, Circuit Design, Simulation, RFID Integration, Biometric Systems, Docker, Data Security.
End-to-End Project Management, Digitalization Initiatives, Stakeholder Collaboration, Technical Team Leadership, Problem Solving.
Operation Officer
Nigeria, Nigeria
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Summary
Led end-to-end project management for digitalization initiatives, integrating AI agents to enhance operational efficiency and improve data security.
Highlights
Directed end-to-end project management for key digitalization initiatives, strategically integrating AI agents to enhance operational efficiency and streamline workflows.
Partnered with University of Maiduguri stakeholders to customize AI-driven edutech solutions, significantly improving operational responsiveness and user experience.
Spearheaded the digitalization of exam processes and records management, leveraging AI-powered tools to enhance data security and improve accessibility for critical educational data.
National Youth Service Corps (NYSC)
Abuja, Abuja FCT, Nigeria
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Summary
Conducted extensive research on emerging technologies and assisted in policy development to support national IT development and digital inclusion.
Highlights
Performed in-depth technology trends analysis, researching emerging fields including Artificial Intelligence, Blockchain, Cloud Computing, IoT, and Cybersecurity to inform national strategic initiatives.
Contributed to critical policy research, assisting in the development of regulatory frameworks for data protection, e-governance, and digital inclusion to advance national IT development.
Technical Office Engineer
Nigeria, Nigeria
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Summary
Designed and implemented digital embedded systems, developed simulations, and integrated security modules to enhance user experiences.
Highlights
Designed and implemented robust digital embedded systems using microcontrollers, creating innovative applications that enhanced system functionality.
Developed comprehensive simulation and circuit diagrams for diverse technological solutions, translating theoretical concepts into practical, real-life applications.
Successfully integrated RFID and biometric modules into existing systems, significantly enhancing security features and improving overall user experience.
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Masters'
Computer Engineering
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Bachelor Of Science
Computer Engineering
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National Diploma
Computer Engineering
Awarded By
College of Petroleum and GeoPhysics, KFUPM
Achieved finalist status in the Machine Learning Hackathon organized by the College of Petroleum and GeoPhysics at KFUPM, demonstrating strong problem-solving and ML application skills.
Awarded By
Global AI Summit (GAIN), Riyadh
Awarded 2nd place in the AWS DeepRacer Competition at the Global AI Summit, demonstrating advanced machine learning and autonomous racing skills.
Awarded By
KFUPM
Participated in the inaugural KFUPM Interdisciplinary Graduate Student Conference, presenting research findings and engaging with academic peers.
Awarded By
KFUPM
Secured 3rd place in the AWS DeepRacer Competition at King Fahd University of Petroleum and Minerals, showcasing proficiency in reinforcement learning.
Issued By
United States AI Institute (USAII)
Issued By
AWS
Issued By
NVIDIA
Issued By
DeepLearning.ai
Issued By
Accenture-Future Learn
Issued By
Gen AI 360 (Activeloop, TowardsAI, & Intel)
Published by
IPDPS 2025
Summary
Research on distributed ensemble learning for darknet traffic detection, employing a multi-modal approach to enhance speed and security (Under-review).
Published by
IEEE Communications Magazine
Summary
Systematic literature review exploring applications and challenges of middleware-based crowdsensing (Under-review).
Published by
IEEE Access
Summary
Exploration of deep learning software tools in big data analytics, focusing on features and implications for knowledge discovery (Under-review).
Published by
Iconic Research And Engineering Journals
Summary
This paper examines how Artificial Intelligence can address two major environmental and economic challenges in oil and gas drilling: managing drilling waste (cuttings and spent fluids) and preventing formation damage.
Fluent
Conversational
Proficient
PixelGrid Technologies LTD, Phone: 07036886014
PixelGrid Technologies LTD, Phone: 09025489289
Research Engineer III @ Interdisciplinary Research Center for Intelligent Secure Systems KFUPM, Email: farouq.muhammad@kfupm.edu.sa