Skip to content
View asprenger's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report asprenger

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
asprenger/README.md

Hi there, I'm Andre 👋

I'm a Founder and ML Engineer specialized in machine learning, MLOps, distributed computing and embedded AI. I build machine learning solutions and data products from first prototype to production. I'm working with large language models in commercial projects as well as with embedded AI in a research project. Among other industries I have worked in FX derivative trading, programmatic advertising, e-commerce and agriculture.

What I'm currently working on

  • Develop a scalable data analytics platform for a market intelligence solution. Ingest multi-modal data (documents, satellite imagery, geolocation data, etc.) from public and private data sources to extract, index and analyse information. Use large language models to provide a natural language query interface to access the data.
  • Working in a research project that develops a gas sensor based on a array of affinity sensors. The technology will be used to monitor soil quality and detect plant diseases. I'm working on the data analytics part of the project using embedded ML to classify the measurements from the sensor.

How to get in touch with me

Pinned

  1. ray_retriever ray_retriever Public

    A scalable implementation of a retrieval augmented Q/A assistant based on Ray Serve and Weaviate.

    Python 1

  2. ray_vllm_inference ray_vllm_inference Public

    A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.

    Python 27 4

  3. tensorboard-embedding-visualization tensorboard-embedding-visualization Public

    Embedding Visualization in TensorBoard

    Python 1 2

  4. keras_acgan keras_acgan Public

    Train an Auxiliary Classifier Generative Adversarial Network (ACGAN)

    Jupyter Notebook 6 1

  5. keras_fc_densenet keras_fc_densenet Public

    Keras implementation of the Fully Convolutional DenseNets for Semantic Segmentation paper.

    Jupyter Notebook 9 2

  6. distributed-training-patterns distributed-training-patterns Public

    Experiments with low level communication patterns that are useful for distributed training.

    Python 5