Abdalrahman Ibrahim

At AGILOX I lead AI products development. The core platform is a private LLM microservices stack serving 250+ employees — paired with an internal AI gateway that issues virtual API keys for developer and agentic-coding workflows, with routing, fallbacks, and per-team cost dashboards. In November 2025 the gateway handled 12,970 requests and 27.3M tokens at 93.5% success. Commercial API spend dropped ~80% per month, with data staying entirely on-premise. On top of the platform, I run hybrid Graph+Vector RAG for technical documentation and connect LLMs to live ROS 2 telemetry through VAgent using the Model Context Protocol (MCP) for natural-language fleet diagnostics. The inference layer uses vLLM with AWQ quantization on private GPU clusters.

I graduated first of class from Misr University for Science and Technology with a B.Sc. in Mechatronics Engineering (CGPA 3.96/4.0, 2018), then spent a year at Infineon Technologies researching Graph Neural Networks for automated analog circuit recognition — improving accuracy 15% and cutting compute time 30% on small-data constraints. An M.Sc. in Autonomous Systems and Robotics at the University of Klagenfurt followed in 2022. I joined AGILOX as Senior Research Engineer, became AI Lead Engineer in May 2023, and was promoted to Head of AI Products Development in January 2026.

In parallel I maintain open-source C++ inference tooling built around one constraint: it must drop in without dragging a framework. YOLOs-CPP is the largest — a header-only library running YOLO v5 through v12 on ONNX Runtime and OpenCV, covering detection, segmentation, oriented bounding boxes, and pose estimation, with no Python in the inference path. The strategy-pattern design means switching task types or YOLO versions is a one-line change. The same philosophy carries through ros2_yolos_cpp, Depths-CPP, and the rest of the ecosystem: production-ready inference engines, minimal dependency footprint.

I am a part-time Ph.D. candidate at the University of Klagenfurt, focused on Agentic AI for Robotics/Transportation. Open to consulting, advisory, and full-time opportunities.