I'm currently working at the Institute for Data Science at FHNW as part of a team developing a state-of-the-art AI-Tutor for students using the power of Large Language Models. In addition, I recently completed my Bachelor's degree in Data Science at FHNW in Switzerland.
I am currently working as a Research Assistant at the Institute for Data Science at FHNW. My team and I are working on developing an AI-Tutor for bachelor students from various fields of study. The AI-Tutor is based on a Large Language Model together with a Retrieval Augmented Generation system.
As part of our AI Lab team, I was working on understanding, processing and eventually digitizing Legal Documents using state-of-the-art Natural Language Processing technologies. As part of that, we developed multiple Transformer-Based models including Large Language Models partly in combination with Retrieval Augmented Generation systems.
I joined Apiax while it was still a Start-Up. In my first year as an intern, I took part in shaping the IT infrastructure for a fast-growing team. After that, I joined the Product Team which is responsible for simplifying digital compliance by building state of the art software in the form of web applications. In addition to that I had some first leadership experiences by managing smaller projects at the company and leading multiple EFZ candidates through their final exams.
I'm currently working on a few projects in my free time. Here are some of my latest ones:
PostPulse is a service designed specifically for SaaS founders. Each month, we publish high-quality, AI-crafted posts about your Startup on premium, SEO-optimized domains.
ReportGPT is a web-based tool that helps you write reports and other documents faster and more efficiently with the help of Large Language Models.
Auto-yt-shorts is an open-source project designed to automate the process of generating engaging short videos for platforms like YouTube and TikTok.
I am a data scientist and software engineer with a strong background in machine learning and natural language processing. I'm passionate about leveraging AI to solve real-world problems and create value for businesses and society.
Specialized in PyTorch for building and training neural networks. Proficient with Weights & Biases for experiment tracking and model optimization.
Skilled in applying NLP techniques to derive meaningful insights from textual data, leveraging my experience with state-of-the-art compliance AI.
Innovative in crafting and refining prompts for AI models, specializing in achieving desired responses and fine-tuning interactions to optimize user experience.
Proficient in backend development with Java and TypeScript, coupled with strong Python programming skills for data analysis, machine learning, and algorithm development using tools like Jupyter.
Experienced with SQL, MongoDB, and GraphQL, achieving efficient data storage, retrieval, and manipulation.
Skilled in creating user-friendly web applications using Angular and SvelteKit, focusing on responsive design and intuitive user experiences.
I recently completed my studies at University of Applied Sciences and working on my bachelor's degree in Data Science. The degree focuses on data analysis and machine learning, while enabling me to learn about the mathematical background behind these algorithms.
My posts usually center around some Deep Learning project I've been working on. These are my most recent ones:
How to use Activation-aware Weight Quantization (AWQ) to compress and accelerate LLMs.
How to use Obsidian to build a second brain and manage your knowledge with ease.
How do you properly do your homework with ChatGPT and achieve a good result? Here's a guide!
I'd love to talk! Feel free to reach out to me via any of the following channels: