Full-Stack Engineer and Data Scientist building ML/Analytics solutions at Octotronic. Previously built AI compliance tools at Apiax and an AI tutoring system at FHNW. I run WriteABookAI and ReportGPT as side projects. B.Sc. in Data Science from FHNW.
Building the ML/Analytics layer for OctoCore, a smart factory platform that connects operational technology with IT systems. Working on data pipelines, analytics dashboards, and automation features for manufacturing operations.
Built an AI tutoring system for Bachelor students using LLMs and RAG technology. Developed the entire platform from architecture to deployment, serving multiple academic disciplines with personalized learning support.
Developed document processing systems using LLMs and RAG for regulatory compliance automation. Built tools that parse, analyze, and verify compliance documents, reducing manual review time by 70%.
I'm currently working on a few projects in my free time. Here are some of my latest ones:
WriteABookAI is an AI-native book writing tool that helps You bring your Book to Life. It's powered by Large Language Models among other AI technologies.
This is a small model of our Solar System running entirely in your Browser and accurately depicting the positions of Planets at specific dates
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.
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.
I recently participated in a computer vision challenge where I had to classify images of wildlife cameras. Our findings are available on GitHub.
I build end-to-end software solutions, from backend systems to user interfaces. My technical toolkit includes full-stack development, data engineering, and machine learning, which I've applied across manufacturing, compliance, and education sectors.
Backend development with Java, TypeScript and Golang. Python for data analysis and machine learning. Focus on scalable architecture and clean code.
SQL, MongoDB, and GraphQL for data storage and retrieval. Design of efficient database schemas and queries.
Web applications with Angular, React and SvelteKit. Component-based architecture and responsive design.
Neural network development with PyTorch. Experiment tracking and optimization using Weights & Biases.
Text processing and analysis using transformer models. Implementation of LLMs and RAG systems.
LLM prompt design and optimization. System prompts for complex AI applications.
Part-time degree covering statistics, machine learning, deep learning, and software engineering. Thesis on [specific topic if you want to add]. Completed while working full-time in industry.
My posts usually center around some Deep Learning project I've been working on. These are my most recent ones:
Using Three.js and XAI's Grok 4 model, I created an interactive 3D solar system with real orbital mechanics and accurate planetary positions.
How I built WriteABookAI.com to help professionals transform their knowledge into non-fiction books without the overwhelming time commitment.
How to use Activation-aware Weight Quantization (AWQ) to compress and accelerate LLMs.
I shoot drone videos and upload them to YouTube when I travel to places. Check them out if you enjoy a nice scenery with from an aerial view.
I'd love to talk! Feel free to reach out via any of the following channels: