Soul Machines: Proof of Concept (PoC) to validate and bring to market a Digital Person use case in an educational context.

Role: NLP Engineer | Chatbot Engineer

Technology Stack:

Rasa - Rasa nlu, Rasa core
React.js, Express.js, Node.js
Google Cloud Platform - App Engine, Cloud Storage, Compute Engine, Cloud Functions, Cloud SQL, Cloud Memory Store, Cloud Scheduler, Cloud Run, Kubernetes Engine, Redis storage
CI - Github actions
Model Selection: Utilized pre-trained models like GPT-3.
Fine-Tuning: Customized the model on domain-specific data to enhance relevance and accuracy.
Evaluation: Conducted rigorous testing to ensure content quality met client standards.
Integration: Deployed the model within a web application, enabling users to generate content through a user-friendly interface.

Project: Innovation Lab Maryville

Ideated and developed an experimental Proof of Concept (PoC) to validate and bring to market a Digital Person use case in an educational context. The project aimed to democratize innovation learning for Maryville University students through a groundbreaking, interactive course revolutionizing online learning and development.

Project Objectives:

Develop a new learning experience that is both informative and interactive.