whoami
Computer Science student specialising in Networking & Infrastructure, with hands-on experience in AWS, virtualisation, networking, and Active Directory. Enthusiastic about automation and serverless architectures.
Leading student representation for the Computer Science department, organising technical events and bridging students with faculty and industry partners.
Internship at Parque Tecnológico de Óbidos, gaining real-world experience in software development within a professional tech environment.
Thesis: MaleKitty – Machine Learning as a Service
Full-Stack platform · Vue.js frontend + async FastAPI backend
AI module: FNN/DNN training with PyTorch · classification & regression
Grade: 17 / 20
Serverless resume hosted on AWS: S3, CloudFront, Route 53, API Gateway, Lambda and DynamoDB. CI/CD via GitHub Actions, infrastructure as code with Terraform.
View on GitHub →Machine Learning as a Service platform built as my final project. Reactive Vue.js frontend, async FastAPI backend, FNN/DNN model training with PyTorch. Graded 17/20.
View on GitHub →