Iβm Fahim Qurashi β a DevOps Engineer with a background in Physics, a passion for cloud engineering, machine learning, and automation.
I enjoy solving complex problems at the intersection of software, infrastructure, and dataβwhether thatβs optimizing CI/CD pipelines, deploying scalable systems in the cloud, or experimenting with machine learning models.
- π Graduated with a BSc in Physics from Royal Holloway, University of London, where I developed strong foundations in Python, data analysis, and machine learning.
 - π Currently working as a DevOps Engineer & Technical Support Engineer at Content Guru, where I design and maintain infrastructure across multiple regions with a focus on reliability, scalability, and automation.
 - π‘ Running my tech presence Fahim Does Tech β where I share projects, insights, and content around DevOps, AI, and cloud engineering.
 
Programming & Data
- Python (NumPy, Matplotlib, Pandas, Scikit-learn)
 - Machine Learning (conformal prediction, regression, neural networks, pipelines)
 
DevOps & Infrastructure
- CI/CD: Jenkins, GitLab CI/CD, GitHub Actions
 - Containers & Orchestration: Docker, Kubernetes
 - Infrastructure as Code: Terraform, Ansible
 - Cloud: AWS (Certified Cloud Practitioner), GCP
 - Virtualization: VMware, Hyper-V, Vagrant, VirtualBox
 
Monitoring & Reliability
- Grafana, ELK (Elastic/Kibana), Splunk, CloudWatch
 - Incident Management (MTTR reduction, high-availability systems)
 
Other
- Bash, YAML, SQL, NGINX
 - Agile / Jira
 
- Advanced AWS services & cloud architecture patterns
 - AI-powered DevOps (AIOps, intelligent observability, automation)
 - Building real-world applications combining cloud + ML + DevOps
 
- π Portfolio / Blog β Fahim Does Tech
 - πΌ LinkedIn
 - π» GitHub
 
β¨ Always learning. Always building. Always improving.