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:octocat:
stay hungry, stay foolish
:octocat:
stay hungry, stay foolish

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@fs-statistik-lmu @StatPrak-Droughts

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maxmlang/README.md

Hello World, I'm Max πŸ‘‹

  • πŸ”­ PhD candidate in Population Health & Statistics at the University of Oxford, where I spend my time modelling Malaria and Schistosomiasis.
  • 🌱 Interested in applying R and Python to the (sometimes unfashionable) problem of getting honest interpretations from data.
  • πŸ’» Currently developing several full-stack AI (LLM) Projects using: Langchain, LamaIndex, Chainlit, HuggingFace, OpenAI's Toolkit, and Pinecone.
  • πŸ’œ I love making projects interactive and available for everyone through R Shiny Apps
  • ⚑ Fun fact Did you know that... the Chinese character for so called BiΓ‘ngBiΓ‘ng青 or biangbiang noodles is so complicated that it was not included in unicode until March 20, 2020, Unicode 13.0.0.. Until that point, there were no standardized ways of entering or representing them on computers.

Connect with me

maxml

Languages & Tools

Programming Languages

R Python C++ Java

Web Development & Frontend

JavaScript TypeScript React WebRTC WebSockets

Statistics, ML & NLP

PyTorch TensorFlow scikit-learn Hugging Face LangChain OpenAI Pinecone Chainlit VAPI CUDA

GIS & Spatial Data

Google Earth Engine GeoPandas R Spatial

DevOps & Tools

AWS Azure Git Docker MySQL Heroku Linux

Package and Framework Development:

datapipeliner-logo pytector-logo RAG-nificient

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  1. RAG-nificent Public

    Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.

    Python 11

  2. pytector Public

    Easy to use LLM Prompt Injection Detection / Detector Python Package

    Python 29 21

  3. AIinterviewing/ai-conversational-interviewing-LaTeCH-CLfL2025 Public

    Replication Material and Code for the Paper AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers. Accepted at LaTeCH-CLfL2025

    Jupyter Notebook 4

  4. StatPrak-Droughts/Drought-Project Public

    This study investigates low water events at three river gauges in Bavaria, Germany. Considering extreme conditions and influential variables, the study employs GAMs to uncover key drivers of low w…

    HTML

  5. AI-swiss-army-knife Public

    AI-powered Swiss Army Knife: Conversation Agent, Image-to-Text, and Text Rephraser. Built with Next.js, React, and Groq AI.

    TypeScript

  6. spatial-epi-101 Public

    Spatial Epidemiology course designed to equip you with the essential skills for analyzing, visualizing, and interpreting spatial health data using R.

    R