// automotive · embedded · graph data science

Mohamed
Soubhi

Senior Automotive Software Engineer — 11+ years in safety-critical embedded systems, now applying graph data science to automotive software validation.

AUTOSAR ASIL B Neo4j · Graph DS ISO 26262 ASPICE L4 ARM Cortex-M7 Madrid, Spain · EU Permit
LinkedIn ↗ GitHub ↗ Email
SCROLL

01 / about

Where embedded safety
meets data intelligence.

I've spent 11+ years building automotive embedded software at Valeo, TTTech Auto, and Concentrio AG — across powertrain, safety, and advanced driver-assistance domains.

At Concentrio, I moved into territory very few engineers occupy: applying Graph Data Science with Neo4j to validate signal flows in automotive software. I build Python-powered analysis pipelines that solve quality problems traditional toolchains can't address.

My value is the intersection — I speak AUTOSAR, MISRA-C, and ASIL B at depth, and I can build the data layer that closes the loop between code and vehicle safety. EU Work Permit holder, based in Madrid.

11+ years automotive embedded
3 Tier-1 automotive companies
ASIL B ISO 26262 functional safety
L4 ASPICE process level

02 / stack

Technical skills.

Embedded & AUTOSAR

C AUTOSAR BSW/RTE/ASW ARM Cortex-M7 AURIX TC3xx UDS / ISO 14229 MISRA-C

Functional Safety

ISO 26262 ASIL B ASPICE L4 Aurix Safety Library SafeWDGM · SafeTSTm

Data Science

Python Neo4j Graph Data Science Pandas Scikit-learn Keras

Vector & Debug Tools

Lauterbach Trace32 CANalyzer Davinci Configurator VectorCAST Gliwa T1 Profiler QAC · Polyspace

DevOps & Infra

Docker Git · Bitbucket Jira · Confluence Reqtify DVC

Methodologies

Scrum / Agile V-Model TDD ASPICE FMEA

03 / experience

Career.

Concentrio AG Jun 2023 – Present · Madrid, Spain

Senior Software Engineer · AUTOSAR · Graph Data Science

  • Architected Neo4j graph solutions for automated signal-flow validation in OEM automotive software
  • Led multiple customer analysis projects; built Python + Docker pipelines for validation reporting
  • Managed technical onboarding — established documentation across complex automotive standards
TTTech Auto Iberia Jun 2021 – Jun 2023 · Madrid, Spain

Safety Embedded Software Engineer · Motionwise / HIP32G

  • Developed safety-critical embedded modules on ARM Cortex-M7 / AURIX following full V-cycle
  • Contributed to ASPICE Level 4 documentation audit — team achieved zero-defect milestone
  • Resolved MISRA-C violations via QAC; integrated Gliwa T1 for multi-core CPU profiling
  • In-circuit debugging with Lauterbach Trace32; feature dev with CANalyzer and Davinci
Valeo Jan 2017 – Jul 2021 · Cairo, Egypt

Senior Embedded Software Engineer · Powertrain Systems (DCDC & EDC)

  • Led ASIL B safety modules upgrade using Aurix Safety Library (SafeWDGM, SafeTSTm, SafeDGM)
  • Led EOL calibration software development; integrated AUTOSAR Diagnostic Component (ISO 14229-1)
  • Automated R&D workflows in Python/JavaScript — ~20% reduction in code generation time
  • Static analysis with Polyspace; requirements traceability via Reqtify
BioBusiness Feb 2015 – Dec 2016 · Cairo, Egypt

Embedded Software Engineer · Medical Devices

  • STM32F4 firmware for coagulation analyzer (MiraClot), patient monitor (BioMon), cloud SCADA

04 / projects

Open source work.

⬡

c-dependency-graph

Parses C/C++ source and builds function-call dependency graphs in Neo4j. Directly mirrors the signal-flow validation approach used in production automotive software analysis.

Python Neo4j Cypher
〰

can-bus-analysis

Anomaly detection on automotive CAN bus signal data using time-series analysis and machine learning classifiers on publicly available datasets.

Python Pandas Scikit-learn
⚙

embedded-python-tools

Automation scripts for embedded workflows: MISRA violation report parsing, Trace32 log analysis, and code generation helpers from Valeo-era R&D experience.

Python Embedded Automation
📐

autosar-notes

Curated AUTOSAR architecture reference — BSW/RTE/ASW concepts, diagrams, and cheat sheets built from 11 years of hands-on automotive embedded work.

AUTOSAR Markdown Diagrams

05 / contact

Open to the right opportunity.

Interested in Software Defined Vehicles, automotive data validation, and Edge AI/TinyML in embedded systems. EU Work Permit holder (Spain).

✉ Email eng.mohamed.soubhi@gmail.com 💼 LinkedIn in/mohamed-soubhi ⌨ GitHub mohamed-soubhi 📊 Kaggle mohamedsoubhi