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Muhammad Adil S. - Fullstack Developer, New Relic, Python

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

    6 years

  • Amazon Web Services

    2 Years

  • Azure

    1 Year

  • Terraform

    4 Years

Additional skills

  • Amazon Web Services
  • Azure
  • Terraform
  • Docker
  • Kubernetes
  • CI/CD
  • JetBrains TeamCity
  • GitHub
  • SonarQube
  • OWASP
  • New Relic
  • Python

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Experience Highlights

AWS Infrastructure and AI Agents Setup

Project description. I have set up a fully secure microservices' architecture on AWS. The environment features hardened networking and AI agents—ChatGPT, Grok, and Gemini—running in ECS Fargate containers with auto-scaling. An Application Load Balancer manages traffic, while the frontend securely calls the backend. Secrets are stored in AWS Secrets Manager, and all resources are provisioned through Infrastructure as Code (IaC) CloudFormation. Tools Cloud: AWS Backend: Node.js, Next.js Frontend: TypeScript, React.js Database: PostgreSQL

AI Ranking Engine | AWS Infrastructure and AI Agents Setup

I have set up a fully secure microservices architecture on AWS. The environment features hardened networking and AI agents—ChatGPT, Grok, and Gemini—running in ECS containers with auto-scaling. An Application Load Balancer manages traffic, while the frontend securely calls the backend. Secrets are stored in AWS Secrets Manager, and all resources are provisioned through Infrastructure as Code (IaC). Tools Cloud: AWS Backend: Node.js, Next.js Frontend: TypeScript, React.js Database: PostgreSQL

AWS FinOps Automation for a Tier-1 Middle-East Bank

Automated cost-management for UAT/SIT, tools, migration, DR & dev accounts using AWS Systems Manager runbooks and Lambda. Leveraged Trusted Advisor + Cost Explorer to surface savings, schedule off-hours shutdowns, right-size EC2/RDS and drive tag-based auto-scaling. Published daily/weekly Excel dashboards and led cost-review huddles with Dev/DevOps to ensure continuous optimisation. Tools: Trusted Advisor, Systems Manager, Lambda, Cost Explorer, Excel Key results Saved ≈ \$280 k/yr through automated shutdown & right-sizing Achieved 98 % tagging compliance

FinTech GCP Infrastructure Provisioning and Security

Project Status: Ongoing DarbPay is a Saudi-based FinTech organization that manages fuel and fleet expenses with 100% coverage across fuel stations. My main responsibilities include: Provisioning infrastructure on Google Cloud Platform using Terraform. Setting up CI/CD pipelines using GitHub Actions. Implementing security tools such as Splunk, Checkov, Trivy, and Google Cloud security services to establish a secure infrastructure. Deploying a fully private infrastructure accessible only via internal VPN, VPC, and IAP, with restricted public access.

UniGuys App - Student Community and Engagement

Set up AWS infrastructure using Terraform, including internal access via a bastion host and creating a VPC endpoint for private networking. Provision a Redis cluster using Terraform. Provision a customized AMI using Packer to ensure that the application launch template configurations enable quick launching of auto-scaling instances. Skills & Deliverables: AWS Auto Scaling, Terraform, VPC Endpoint, Packer

Education

  • University of Central Punjab

    Bachelor of Computer Science (BCompSc) in Computer science

    2017-01-01-2021-01-01

Languages

  • English

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