I'm a Full-Stack Engineer and Data Scientist who transforms complex technical challenges into practical solutions. Currently at Octotronic, I develop a smart factory platform that revolutionizes manufacturing operations. Previously, I developed AI compliance tools at Apiax and led the development of an AI Tutor at FHNW's Institute for Data Science.
I run several side projects, including PostPulse (AI content for startups) and ReportGPT (document automation). In addition, I recently completed my B.Sc. in Data Science at FHNW, where I balanced studies with simulations work in tech.
At Octotronic, I develop smart factory solutions that bridge the gap between operational technology and IT systems. As a Full Stack Engineer, I contribute to OctoCore's unified data platform, implementing scalable architectures that transform manufacturing operations. My role involves creating solutions that help leading manufacturers break down data silos and achieve full transparency across their production processes.
At FHNW's Institute for Data Science, I led the development of an innovative AI tutoring system that transformed learning experiences for Bachelor students across multiple disciplines. By constructing a platform that combined Large Language Models with Retrieval Augmented Generation (RAG) technology, I created an adaptive learning environment that provided personalized support to students. The system bridged the gap between traditional education and cutting-edge AI technology, making advanced tutoring accessible to various academic fields.
In Apiax's AI Lab, my teammates and I spearheaded the development of advanced compliance automation systems using cutting-edge AI technologies. I architected and implemented document processing solutions powered by Large Language Models (LLMs) and Retrieval Augmented Generation systems. Our work streamlined regulatory workflows and automated compliance verification processes, which in turn significantly reduced manual work for our clients.
At Apiax, I drove key technical initiatives during the company's critical growth phase. I architected and implemented scalable IT infrastructure that supported the company's expansion from start-up to established FinTech player. As a core member of the Product Team, I built progressive web applications that simplified digital compliance for enterprise clients. In addition, I led multiple projects and mentored EFZ candidates through their final examinations, which contributed to both product development and team growth.
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 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.
BSc in Data Science covering statistical analysis, machine learning, and software engineering. Completed while working in tech, combining academic theory with practical industry experience.
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 via any of the following channels: