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Hi there 👋

Since 2022, I am mainly working on the tech of Akuity Care where we develop AI algorithms to detect diseases using voice data, so called vocal biomarkers.

I have architected & implemented the entire cloud-based tech / ML stack:

  • Developed SOTA machine learning algorithms to predict diseases from audio data
  • Developed SOTA machine learning algorithms to predict emotional states from text data
  • Designed and implemented internal Python package for audio preprocessing, feature extraction, transcription, data augmentation, testing and visualisation
  • Built backend and frontend for web app being used in projects with hospitals and doctors
  • Built backend and frontend for well-being mobile app
Python Flutter Dart TypeScript JavaScript PyTorch Hugging Face Transformers LLMs NLP PostgreSQL ovh Amazon S3 Harbor Docker FastAPI MLflow Postman Nginx Github Github Actions

Metrics

Programming languages

Python Scala Flutter Dart TypeScript JavaScript R

Deep Learning & GenAI

PyTorch Hugging Face Transformers LLMs CNN NLP

Machine Learning

Scikit-Learn Pandas Xgboost Dask Text Audio Text Audio

MLOps

PostgreSQL MySQL MongoDB Parquet Spark Spark ovh Amazon S3 Firebase Harbor Docker FastAPI MLflow MetaFlow Postman Nginx Github Github Actions CICD

Visualisation

D3.js Figma Mui Seaborn Matplotlib Text

Adrian Ahne's Projects

fastquad icon fastquad

Repository of a project student at PolyTech Paris UPMC

mistralai-cookbook icon mistralai-cookbook

Examples from the Mistral community related to RAGs, Finetuning LLMs, Evaluation etc.

project_parallelism icon project_parallelism

University project, in which we parallelise the game chest, which calculates the best_score and best_move for a player by using the negamax algorithm. We provide a version MPI, a version openMP and version MPI + openMP

thinkdsp icon thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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