Marcus Neufeldt

Development and implementation of AI-powered automation solutions for aviation logistics.

Agentic AI & Data Pipelines: Development of "Scema" (Winner of the Dataiku Frontrunner Award 2025), a pipeline for converting unstructured data (PDFs, audits) into dashboard-ready formats using AI agents.

Computer Vision: Implementation of YOLO models for real-time detection of aircraft movements and apron monitoring without dedicated GPU clusters.

Log Analysis: Use of hybrid AI detectors for the evaluation of complex maintenance logs (Mechanic Logs) to identify critical events.

Tech Stack: Python, Dataiku, n8n, LLMs (Gemini/GPT), Vector Databases, SQL.

Built computer vision applications to improve data segmentation tools, demonstrating expertise in advanced AI technologies.

Optimized AI model performance through advanced prompt engineering, ensuring high accuracy and efficiency.

Counseled and supported jobseekers throughout the application process, from initial contact to successful placement, including creating and improving application documents.