Hello, I am
Konstantinos Papa.
Navigating the depths of Artificial Intelligence.
I am a Team Lead in AI and Software Engineering based in Germany, specializing in Deep Learning, Generative AI, and complex system architecture. Currently leading AI initiatives at Everest Systems GmbH, I bridge the gap between theoretical research and scalable, production-grade solutions.
Neural Link
Expertise
Where I've Been
Team Lead AI
July 2025 - Present@ Everest Systems GmbH
Leading a diverse team of software and AI engineers to build the AI landscape of the Everest ERP system, providing business value for professional users as well improving the overall process and tooling for internal application developers.
Software / AI Engineer
Jan 2023 - July 2025@ Everest Systems GmbH
Laid down the foundation of all AI functionality in the ERP system, including agents for data analysis and visualization for business users, RAG chatbot for interaction with company documents and AI infrastructure for seamlessly handling various AI providers to keep up to date with newest technology and models.
Software Developer
Apr 2021 - Sep 2022@ Freelance
Delivered a web application for planning industrial plants in the domain of rotating equipment, from designing an intuitive UI to implementation with React and TypeScript.
B.Sc. Student
Apr 2020 - Jul 2020@ KSB SE & Co. KGaA
Researched and evaluated different machine learning approaches for anomaly detection on time series data with Python for bachelors thesis.
Project Assistant Data Science
Jan 2019 - Mar 2020@ KSB SE & Co. KGaA
Developed visualization tool and dashboard for diverse time series data in python, using Plotly and Flask.
The Lab
Multimodal Context-Object Split Learning
Master's project designing a multimodal representation learning framework with separate latent spaces for context and objects to enable more effective and diverse multi-task learning across modalities.
Diverse Image Captioning
Research project at TU Darmstadt focused on generating diverse natural language captions for images. Extended deterministic architectures with variational components to balance quality and diversity in generated captions.
Wireless Capsule Endoscopy
Developed classification models for endoscopy images as part of Visual Computing lab at TU Darmstadt. Implemented preprocessing pipelines, dataset balancing, and adapted state-of-the-art CNN architectures to medical imaging tasks.
Anomaly Detection in Rotating Equipment
Bachelor's thesis researching and evaluating different machine learning approaches for anomaly detection on time series data from rotating equipment using Python.
05. What's Next?
Get In Touch
Although I'm currently leading AI initiatives at Everest Systems, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Say Hello