Portfolio

A research project in which we leveraged our theoretical linguistics and NLP skills to investigate the accessibility of health communication during the COVID-19 outbreak.

Tools: Python, Hugging Face Transformers, Hugging Face Datasets, MatPlotLib, R.

Community project in which I am collaborating that aims at the creation of a conversational chatbot that will be able to provide financial advice to those affected  by the current economic crisis.

A community  project that utilises data engineering and NLP/NLU techniques to create an Open Souce corpus of spoken interactions in the Romance languages. The project aims at solving the problem of data scarcity and data reliability in linguistic investigations.

Community project in which I am collaborating that aims at stopping on-line violence against children by deploying an accurate classifier to identify grooming behaviour in online chats with children.

Open Source multilingual language model hosted by EleutherAI on which I am collaborating as a computational linguist and language expert.

Specialist project on which I am working as a part of my training in AI and Data at AiCore.

@ Currently training a model that works with images and text to make recommendations to potential buyers based on their demographic information;

@ Will host the app on EKS to orchestrate the containers that maintain/retrain the model.

Data collection project on which I have just started working as a part of my training in AI and Data at AiCore.

Web scraping project on which I worked as a part of my training in AI and Data at AiCore.

@ Developed a module that scrapes data to upsert information to a database;

@ Pushed an image of the containerised application in a CI/CD pipeline that performs unit testing and deploys the image to an EC2 instance.

@ Python image classification application that runs from the command line.

@ The application trains a deep learning model on the 102 Category Flower Dataset, and uses it to classify images of flowers.

Computer vision application on which I worked as a part of my training in AI and Data at AiCore.

@ Trained a computer vision model and used Tensorflow to detect whether Rock, Paper or Scissors is shown to the camera in real-time and with a high accuracy.

@ Used the OpenCV library to access the webcam and play Rock Paper Scissors with the computer using the image from the camera.

Project in which we tested our Python skills by determining:

@ which Pytorch image classification algorithm among AlexNet, VGG, and ResNet performs best on classifying images as dogs or not dogs.

@ how well this best classification algorithm works on correctly identifying a dog's breed.

@ how long each algorithm takes to solve the classification problem (runtime).