Passionate about utilizing statistical modeling to grasp the uncertainty of the future.
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🔭 I’m currently studying Statistics at the University of Oxford
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🌱 Interested in R, Python, Julia projects
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💻 Currently developing several full-stack AI (LLM) Projects using: Langchain, LamaIndex, Chainlit, HuggingFace, OpenAI's Toolkit, and Pinecone.
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💜 I love making projects interactive and available for everyone through R Shiny Apps
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📝 I regularly write articles on my blog https://maxstatdocumentation.netlify.app/
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⚡ Fun fact Did you know that... the Chinese character for so called
面 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.
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☕ Check out the projects I have been working on recently:
- 📖 RAG-nificent - A state-of-the-art framework that leverages the power of Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs
- ⚡ Ligthning - An ultra-fast AI chatbot powered by Groq LPUs (Language Processing Units), offering one of the fastest inference speeds on the market as of April 2024
- 🔐 pytector - A Python package designed to detect prompt injection with LLMs from Hugging Face
- 🎶 Music Genre Classification
- 💬 Bayesian Wordle - How a Bayesian Statistician Plays Wordle, Blog Post
- 📊 Copula Models and their Applications, Blog Post
- 🧬 R Implementation of the Li Stephens Algorithm for Chromosome Paintings
- 🏡 Case Study on Mortgage Approvals
- 🗃️ Shiny App / Course Material for workshops with German public officials as part of the German Research Data Infrastructure (BERD@NFDI)
- 💧 Multivariate Analysis of Climatological and Hydrological Low Water Drivers in Bavaria
- 🦠 Covid Trends and Impact Survey (CTIS) researching the mental health during the pandemic
- 💲 Portfolio Analysis R Shiny App
- 📝 More projects are on my blog
