AI-driven Software Engineer with over years of experience in e-commerce and FinTech. Geodesy graduate from TU Graz with a strong foundation in mathematics, data analytics and academic research.
A comprehensive toolkit for building modern, AI-driven applications
Designing, training and deploying deep learning and classical ML systems (research → production).
Building ETL/ELT pipelines, unified data lakes and performant data warehouses for analytics and ML.
Production-ready model lifecycle: experiment tracking, serving, monitoring and CI/CD for ML.
Applied research & projects (e.g., PV panel detection from satellite imagery) using YOLOv5 and hybrid approaches.
Architecting and building scalable services, APIs, and automation for data-intensive systems.
Strong foundation from TU Graz: GNSS, surveying, spatial data processing and map/database workflows.
Polyglot engineer with strengths in scripting, systems and data tooling used in production ML systems.
From forecasting & BI to VC market intelligence — delivering actionable insights and end-to-end AI features.
Academic experience as TA and contributor to teaching materials: sensor fusion, navigation and ML topics.
A showcase of my latest work combining frontend excellence with AI innovation
A real-time chat platform with intelligent responses using GPT-4 and custom fine-tuned models.
A community-driven interactive analytics PlugIn that shows period-over-period results with no extra compute and no additional queries.
I don't just consume information; I synthesize it into a comprehensive knowledge base covering everything from AGI agents to market prediction models. This blog serves as my 'external brain' proving that true technical mastery comes from consistent, public learning.
This research achieves 95.7% accuracy in detecting solar panels by combining YOLOv5 with Greedy Model Soups to address distribution shifts in satellite imagery. Validated in Vienna, the system autonomously tracked solar adoption trends from 2015 to 2021, demonstrating scalable renewable energy monitoring
Engineered robust data infrastructure supporting 40+ international markets. Delivering high-fidelity data to power 1,000+ business dashboards and real-time ML pipelines.
Reinventing hiring with a high-velocity, swipe-based interface. Combines AI candidate scoring with human intuition to solve resume fatigue and speed up screening by 10x.
Autonomous data agent that converts plain English into safe, optimized SQL queries. Democratizes data access and reduces ad-hoc requests by 60% with built-in safety guardrails and auto-visualization.
Interactive educational tool visualizing Byte Pair Encoding (BPE) for LLMs. Built with a high-performance Rust backend to demonstrate "under the hood" mechanics of AI tokenization in real-time.
Leading the strategic transformation of the company's legacy Data Warehouse to Microsoft Fabric, owning the architecture, migration strategy, and platform rollout end to end. Serve as the primary in-house authority on AI — responsible for governing AI usage across the organization, defining and prioritizing AI initiatives, and acting as the main point of contact and spokesperson for all AI-related topics, both internally and with external partners.
Led the development of AI-driven features for web applications and acted as the primary technical authority for AI initiatives across the company. Designed and implemented scalable, in-house software solutions that significantly improved operational efficiency and employee productivity. Regularly conducted internal workshops and training sessions on Looker and data analytics, promoting a culture of continuous learning and technical excellence.
Led the implementation of innovative AI-driven projects, including FFG-funded initiatives that emphasized technical novelty. Developed intelligent applications using predictive algorithms, sentiment analysis, and a wide variety of technologies. Managed project planning, technical strategy, and cross-functional coordination as part of the leadership team. Built and maintained React and Python web applications, implemented CI/CD pipelines, and improved performance by 60%.
Working on various projects in Automation, Statistics & Geoinformatics in the Automotive industry.
Teaching the students about Indoor navigation, filtering, sensor fusion.
Tunnel survey | 3D Laser scanner measurements