Foundations of Computing and Generative AI

Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.

Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally. Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications. Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges. As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels. Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.

Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.

Pradeep Singh Naulia is a distinguished leader in the AI and data science arena with over two decades of professional experience spanning multiple industries and geographies. As a Chief Technology Officer and Co-Founder, he currently leads cutting-edge AI initiatives focused on agentic LLM platforms, embedded AI, and IoT solutions. His expertise encompasses the full spectrum of AI technologies, from computer vision and NLP to GenAI, transformers, and neural network optimization. With a recently completed Ph.D. in alternative methods to optimize Neural Networks from UTP Malaysia, Pradeep combines deep academic rigor with practical industry experience. He holds prestigious certifications including Certified Analytics Professional (CAP) from INFORMS, AWS and Azure Certified Data Scientist, PMP, and Master Black Belt (MBB). His research contributions are notable, with multiple IEEE and MDPI publications, best paper awards, and a patent application for agentic LLM optimization of deep neural networks. He serves as a journal reviewer for Springer Nature, IEEE, and MDPI, demonstrating his thought leadership in the field. Pradeep's professional journey showcases remarkable versatility across sectors including Oil & Gas, FMCG, Telecom, Financial Services, and Manufacturing. At Petronas, he pioneered the largest Advanced Driver Assistance System (ADAS) using NVIDIA and AWS IoT technologies. During his tenure at BAT Malaysia, he led end-to-end AI projects from data ingestion to cloud deployment, delivering high-impact solutions like Smart Credit Risk analytics. His 13-year career at Hewlett Packard saw him drive transformational projects across supply chain management, achieving multi-million-dollar savings and training over 200 employees in analytics and statistical tools. As a trainer and educator, Pradeep has successfully conducted a 10-week Data Science Bootcamp, training and certifying over 300 data scientists. His teaching approach combines theoretical foundations with hands-on practical applications, drawing from his extensive experience implementing AI solutions across Australia, Brazil, China, India, Malaysia, Philippines, Singapore, Taiwan, and the USA. His ability to translate complex AI concepts into actionable insights makes him an exceptional instructor for professionals seeking to advance their skills in machine learning, deep learning, cloud AI platforms, and data science methodologies.

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.

Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.