I'm Fahim, a former Physics student with experience in Python, machine learning, and devops. My long-term goal is to become a solutions architect, and I'm working towards this by expanding my knowledge in the areas of cloud engineering, machine learning, and devops.
During my Physics degree, I gained experience using Python for data visualisation and transformation with libraries such as numpy
and matplotlib
. I completed a machine learning module covering topics such as scikit-learn
, conformal prediction
, linear regression
, data pre-processing
, parameter selection
, kernel methods
, neural networks
, pipelines
, and cross-conformal prediction
.
In addition to my academic experience, I have hands-on experience in devops. I've worked with terraform
and ansible
for infrastructure as code, AWS
for cloud engineering (including CCP exams), Kubernetes
and Docker
for containerisation, Jenkins
for CI/CD, and Vagrant
and Virtual Box
for virtualisation. I also conduct personal projects to learn more and expand my skills in areas such as machine learning, cloud engineering, and devops.
In my current role, I analyze the maturity of various services and ensure they meet certain standards across multiple disciplines, such as finops
, chaos engineering
, FT
, NFT
, cloud engineering
, and resiliency
. I work with stakeholders to identify areas of improvement and develop plans to address them.
Check out my GitHub profile to see my personal projects, including examples of cloud engineering, machine learning, and devops.
- Python
- Data visualisation and transformation
- Machine learning
- Devops
- Terraform and Ansible
- AWS
- Kubernetes and Docker
- Jenkins
- Vagrant and Virtual Box
- YAML
- BASH