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Report abuse👋 Hi, I’m Arsalan Sayed I’m an ADAS & Autonomous Driving Engineer working at IAV GmbH, specializing in sensor fusion, signal processing, simulation, and automated data analysis for advanced driver assistance systems. My work spans Python development, automation frameworks, data science, and LLM‑based prompt engineering for engineering tools.
I collaborate closely with OEMs, working on highly confidential automotive data and proprietary architectures, which is why many of my professional projects cannot be published publicly.
“Entwicklung und Integration von ADAS‑Funktionen … mit Kamera-, Radar- und LiDAR‑Daten.”
“Signalverarbeitung, MF4‑Messdatenanalyse, KPI‑Automatisierung…”
🛠️ Skills & Technologies Core Engineering Skills Sensor Signal Processing — Radar, LiDAR, ToF, ADMA, CAN/Ethernet
ADAS Data Analysis — MF4 traces, KPIs, automated pipelines
Sensor Fusion — Classical + deep fusion, EKF, environment modeling
Simulation — CARLA, IPG CarMaker, scenario‑based testing
Programming & Tools Python — Automation, dashboards, ML pipelines
MATLAB/Simulink — Modeling, algorithm development
C++ — AUTOSAR, real‑time components
ROS — Robotics & sensor integration
Data Science — ML, CV, signal processing
Prompt Engineering — LLM tools, agentic workflows
🚀 Highlighted Projects (Public‑Safe Summaries)
Note:
Due to my work with OEMs and confidential ADAS programs, I cannot publish source code or datasets.
Below are high‑level descriptions of the automation and data‑engineering projects I can safely share.
Covid‑19 Dashboard A real‑time analytics dashboard with automated data ingestion, visualization, and trend analysis.
Automated Vehicle Trace Recording with HMI A toolchain for automated MF4 trace recording, metadata tagging, and HMI‑based control for test engineers.
Report Dashboard Database Backend + data model for KPI dashboards, enabling traceability, automated ingestion, and multi‑user reporting.
CLOC Architecture for Sensor Fusion A modular architecture combining LiDAR, RADAR, and camera features using classical + deep fusion.
🔗 Contact & Socials
LinkedIn: linkedin.com/in/arsalansayed
GitHub: github.com/arsalan311
This Repository is a part of Enterprise Data Science Course.
Sensor fusion using Kalman and Extended Kalman Filter, Vaditing by Comparison of the estimated Output
Jupyter Notebook 2
Forked from pangsu0613/CLOCs
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Python
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