Email
Phone
+44 7312876096
As a graduate of the University of Edinburgh with a degree in Computer Science, my academic and professional journey has been driven by a profound interest in the ever-evolving fields of security, cloud computing, and artificial intelligence. My approach blends academic knowledge with practical applications, focusing on developing secure, efficient, and intelligent technology solutions. I am committed to harnessing these technologies to address complex issues and push the envelope of innovation.
LinkedIn
GitHub
FRM Technology Ltd July 2020 — Present
AI-First Support Solution Developer
Led a software consultancy firm specializing in AI-driven solutions and AWS infrastructure
Highlights
- Designed, deployed, and maintained scalable and secure code and infrastructure in AWS using Infrastructure as Code (IaC) techniques to streamline and automate support processes
- Developed pioneering AI-driven support solutions using large language models (LLMs), automating over 50% of customer inquiries with no human intervention needed
- Maintained and debugged a wide variety of software products, adeptly handling complex technical issues across different programming languages
- Collaborated effectively with both internal and external stakeholders to align technology solutions with business objectives and user needs
Software Development
- Node.js
- Python
- Java
- Laravel
- Django
Cloud Computing
- AWS
- Azure
- GCP
- Kubernetes
- Docker
DevOps
- Jenkins
- GitLab
- GitHub Actions
- Terraform
- Ansible
Database Management
- MySQL
- PostgreSQL
- MongoDB
- Redis
- Elasticsearch
University of Edinburgh November 2013 — May 2018
Computer Science
BSc
Certified Solutions Architect - Associate December 2023 — December 2026
by
AWS
Credential ID
10JSGLHBYJQ4QGW6
Octopus Pricing Dashboard — Now
Highlights
- Engineered a fully serverless architecture to ensure cost-effectiveness within the AWS free tier
- Implemented a Lambda function to fetch daily pricing data and used DynamoDB for efficient data storage and retrieval
- Utilized CloudFront and S3 to serve the dashboard content, ensuring high availability and low latency for users
- Integrated with the Simple Email Service (SES) to send customized email alerts based on user-defined thresholds for price changes
- Designed an automated workflow with AWS Step Functions to handle decision-making processes and interact with external pricing APIs effectively
English
Native speaker
Available on request
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