Selected Work and Projects
ContextFlow
Categories:
OOP Architecture
Package
Infrastructure
Tests
Documentation
LLM Integration
Automation
Asynchronous
A .NET library for interacting with LLMs (Large Language Models). It provides abstractions for individual modules to work together through dependency injection. With it, you can create more complex prompt chains/pipelines as it simplifies prompt templating and prompt chaining, among other things, through a project-wide fluent interface. The entire project also includes asynchronous counterparts and is tested with 55 NUnit tests. Furthermore, attention was given to developing with a cyclomatic complexity (<6 for methods), class coupling (<10 for methods), and a Maintainability Index of 82. You can find the documentation here.
Finsights
Categories:
Product
Automation
Webapp
Branding
Logo Design
API
A Newsletter as a Service solution for all kinds of investors to keep in touch with their investments. Users can choose when, and about what they are notified about. They will then receive automatic performance updates for all selected stocks within the chosen time period. Microsoft is currently blocking SMTP access, which is preventing emails from being sent.
GPTVault
Categories:
LLM Integration
Proof of Concept
Knowledge Management
Automation
What you are seeing is a conceptual graph generated from GPTVault. GPTVault is a proof-of-concept tool that uses generative models to accumulate knowledge in a way that makes it usable. It works by querying a large language model (LLM) about a starting topic. The LLM will respond with a brief description of the concept, a list of related concepts, and a list of subconcepts. This information is then saved in a knowledge base, which can be explored and visualized in a variety of ways. GPTVault can be used for a variety of purposes, including concept exploration, personal knowledge management, and content creation. It is a tool that can help you to learn more about or organize a concept.
Instadata
Categories:
Data Extraction & Processing
API
Scraping
Automation
A large instagram scraper built with Django that uses an API to communicate between user and program. The Scraper can be scaled seaminglessly and uses proxies. I built it to gather data for further Data-Science projects, so I used the Nominatim Geolocator and Regex to extract and order as much data as possible.
Download Resume (German)
