My Key Qualifications:
Foundational Knowledge in Cloud Computing and AWS Architecture
- Experience in designing and implementing highly available AWS infrastructures using services like EC2, EFS, Auto-Scaling Groups, and Application Load Balancers.
- familiarity in Terraform for Infrastructure as Code, enabling automated and efficient cloud resource management.
Experience in Application Development and CI/CD Workflows
- Developed the CocoPlanner Travel Planner, a scalable application integrating APIs (Amadeus, OpenAI, Serper) to create personalized travel itineraries.
- Established robust CI/CD pipelines using GitHub Actions and Docker, optimizing workflows and deployment efficiency.
Initial Exposure to Machine Learning and AI Development
- Experience in developing machine learning models using frameworks like TensorFlow and Python.
- Initial experience in human activity recognition using advanced deep learning architectures, including CNNs, LSTMs, and hybrid networks.
Experience & Education Highlights
My academic and professional journey reflects a harmonious blend of engineering expertise and innovative problem-solving. With a Bachelor’s degree in Electrical Engineering from the University of Malaya and a Master’s in System Engineering and Engineering Management from Fachhochschule Südwestfalen, I have consistently pursued excellence. My projects span cutting-edge domains like cloud computing, machine learning, and system optimization, showcasing my ability to integrate theory with real-world applications. Having an experience in AWS, Docker, Python, and modern frameworks, I bridge the gap between robust engineering principles and contemporary technological advancements.
Professional Experience
I have built a solid foundation in cloud computing, AI development, and scalable application design, gaining invaluable experience in these dynamic fields.
My work spans cloud architecture, machine learning, and data management, allowing me to develop a versatile skill set that bridges technical innovation with practical application.
This journey has equipped me with the ability to design resilient systems, harness the power of artificial intelligence, and manage complex data workflows, enabling me to deliver impactful and scalable solutions in various technological domains.
Academic Background
I hold a Bachelor's degree in Electrical Engineering with honors from the University of Malaya, Malaysia, where I developed a strong foundation in engineering principles and problem-solving techniques.
Building on this, I recently completed a Master's degree in Systems Engineering and Engineering Management from South Westphalia University of Applied Sciences, Germany, further enhancing my expertise in integrating technical systems with effective management practices.
This academic journey reflects my commitment to continuous learning and my drive to excel in multidisciplinary engineering fields.
Skills
I have cultivated a foundational understanding of cloud computing technologies, including AWS (ASG, ALB, EC2, EFS, ECR, VPC, IAM, and CloudWatch), and have hands-on experience with tools like Docker and GitHub Actions for streamlined development workflows.
While still growing my expertise, I am familiar with Infrastructure as Code concepts using Terraform, as well as data management with MongoDB and system monitoring using Grafana.
I have also explored machine learning and Python programming, demonstrating my ability to adapt and apply these skills effectively. My growing proficiency in these areas reflects my eagerness to learn and my capability to contribute meaningfully in technical environments.