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.