The working toolkit

• X++

  Programming Languages

  D365 F&O extension and report development

• Python

  Programming Languages

  Primary language for ML and research work

• Java

  Programming Languages

  Object-oriented foundation

• JavaScript

  Programming Languages

  Client-side scripting

• HTML

  Programming Languages

  Markup for web interfaces

• CSS

  Programming Languages

  Styling and layout

• Machine Learning

  AI & Machine Learning

  Applied across research and published work

• Deep Learning

  AI & Machine Learning

  CNN-LSTM architectures for emotion recognition

• NLP

  AI & Machine Learning

  Summarisation and text classification

• LLMs

  AI & Machine Learning

  GPT-3, Llama-2

• TensorFlow

  AI & Machine Learning

  Model training and deployment

• Keras

  AI & Machine Learning

  Deep learning model construction

• Scikit-learn

  AI & Machine Learning

  Classical ML and evaluation

• LangChain

  AI & Machine Learning

  LLM application scaffolding

• AI Agents

  D365 & Power Platform

  Sales order, outside processing, production review

• Dataverse

  D365 & Power Platform

  Data layer behind the CMA agents

• Power Platform

  D365 & Power Platform

  Agent build surface, integrated with F&O

• SSRS

  D365 & Power Platform

  Report development on client implementation

• Electronic Reporting

  D365 & Power Platform

  ER reports for the CMA product

• Git / GitHub

  Tools & Data

  Source control and collaboration

• Microsoft Azure

  Tools & Data

  Cloud services for ML workloads

• FastAPI

  Tools & Data

  Serving models over HTTP

• MySQL

  Tools & Data

  Relational modelling and queries

• MongoDB

  Tools & Data

  Document storage for project work

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