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Nabeel F. - Fullstack Developer, DevOps Engineering, AWS Lambda

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    1 year

  • ServiceNow

    1 Year

  • Process Optimization

    1 Year

  • IT Service Management

    1 Year

Additional skills

  • ServiceNow
  • Process Optimization
  • IT Service Management
  • IT Support
  • Business Applications Consultation
  • Business Application Maintenance
  • AWS Glue
  • Agile CRM
  • Git
  • Jira
  • Docker
  • Jenkins
  • DevOps
  • DevOps Engineering
  • AWS Lambda

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Experience Highlights

Docker-based deployment

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.

CI/CD pipeline

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.

AWS DevOps architecture

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.

Aws cloud infrastructure 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.

AWS cloud infrastructure

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.

Education

  • University of Maryland, College Park

    Master of Computer Science (MSCS) in

Languages

  • English