AA's Projects
AWS Lambda - Sβerverless AI Data Engineering Pipeline
Pipelines for pre-processing LaTeX texts; topic modelling analysis
[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.
This is building a container from scratch
A web UI that collects the user input, detect and redact PII, and save it to server
Small Flask Microservice that makes the change
A dashboard to show you Finland's data science employment landscape .
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
Demo of FastAPI
A Finnish verb guesser built in xfst
Deploy Flask Machine Learning Application on Azure App Services
This is a project to auto-deploy with an ML payload
MLOps packaging: build and push to GitHub Container Registry
Google IT Automation with Python Professional Certificate - Practice files
Simple Jekyll theme for a minimal resume website: https://jekyll-theme-minimal-resume.netlify.com/
README for my profile
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
A Kubernetes Hello World Project
Reproducing ML algorithms in Python.
A skipgram model implemented in PyTorch
Finishing practices while reading the operating system textbook
Language Distance Measure
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
Context aware, pluggable and customizable data protection and de-identification SDK for text and images