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With a foundation in computer science, IT support, Data and, Project Management I’m now diving deep into DevOps, focusing on cloud computing, automation, and scalable infrastructure. I’ve successfully completed projects such as the Cloud Resume Challenge, utilizing AWS services like Lambda, DynamoDB, and S3.
Currently, I’m exploring container orchestration with Kubernetes, CI/CD pipelines, and cloud infrastructure automation to streamline development lifecycles and improve system reliability.
Focused on cloud and DevOps skills including Linux, Bash, Python, AWS, Kubernetes, CI/CD, and Cloud Security. Hands-on projects include the Cloud Resume Challenge and personal cloud experiments.
Specialized in machine learning, data visualization, and ethical AI. Proficient with tools like Python, R, and SAS. Applied knowledge to real-world projects, including predictive analytics and big data management.
Explored strategies for knowledge-sharing frameworks, IT systems, and intellectual capital management to enhance organizational productivity. Focused on the interplay of human behavior and technology in knowledge dissemination.
Built a strong foundation in programming languages (Java, C++) and database management using SQL. Developed a Library Management Information System as a capstone project, showcasing problem-solving and software development skills.
My Objective is to bridge the gap between development and operations through automation, infrastructure as code, and advanced monitoring. My focus is on fostering collaboration, driving scalability, and ensuring efficient delivery of value to end-users.
Implementing continuous integration and delivery pipelines ensures code reliability and rapid deployment. I work with tools such as:
Managing infrastructure programmatically reduces errors and increases consistency. Tools I use include:
Maintaining observability of applications and systems ensures uptime and quick recovery. Tools I work with:
Containerized applications offer portability and scalability. My experience includes:
Building cloud-agnostic solutions while optimizing resources across providers like:
Writing automations using:
This project involved building a serverless web application with AWS services like Lambda, DynamoDB, and CloudFormation to deploy, manage, and monitor a full-stack application.
This upcoming project will involve containerizing the front-end, API, and storage components of a QR code generator app. I will implement CI/CD pipelines, monitoring, and observability using Kubernetes, Terraform, and AWS. Stay tuned!