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Schedule Interview NowMy name is Nabeel F. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: ServiceNow, Process Optimization, IT Service Management, IT Support, Business Applications Consultation, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Docker-based deployment, CI/CD pipeline, AWS DevOps architecture, Aws cloud infrastructure Deployment, AWS cloud infrastructure, etc.. I am based in Silver Spring, United States. I've successfully completed 13 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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ServiceNow
This diagram illustrates a Docker-based deployment workflow, where a developer creates a Dockerfile to build a Docker image, which is then pushed to Docker Hub. The image is later pulled into different environments, such as staging and production, to create Docker containers, enabling seamless deployment and scalability.
This CI/CD pipeline diagram illustrates automated Docker image creation and deployment using GitHub, Jenkins, and DockerHub. The process includes code commits triggering Jenkins to build a Dockerfile, generate a Docker image, and push it to DockerHub, enabling continuous integration and deployment.
This AWS DevOps architecture illustrates a CI/CD pipeline using AWS CodeCommit, CodeBuild, and S3 for build storage. It features Amazon SQS for build queue management, Auto Scaling for builder instances, and RDS for project management tools, ensuring efficient, scalable, and automated software deployment.
This AWS architecture diagram showcases a highly available and scalable cloud infrastructure using multi-AZ deployment, Route 53 failover, CloudFront, and auto-scaling. It includes an Elastic Load Balancer (ELB), NAT instances, RDS, Lambda, DynamoDB, and S3 for storage and failover, ensuring resilience and performance optimization.
This architecture diagram illustrates a highly available AWS cloud infrastructure with auto-scaling, load balancing, and database redundancy. It includes Terraform-managed resources, an Application Load Balancer (ALB), multi-AZ MySQL databases, S3 for state storage, and DynamoDB for state locking, ensuring scalability and fault tolerance.
Master of Computer Science (MSCS) in