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Bardia Shahbaz

Senior Function & Concept Engineer · Product Owner

Berlin · Hamburg · Münchenbardiashahbaz.comLinkedIn
Bardia Shahbaz

Senior engineer with 14 years of experience in function development and systems architecture for highly automated driving. Expert in safety-critical systems (Vehicle Motion Management / ESC) with deep expertise in ISO 26262, ASPICE, and MBSE (Matlab/Simulink). Experienced in virtual validation (vECUs), SiL/HiL methods, and agile requirements management in a large OEM environment.

Experience

03.2025 – present

Ingolstadt / Hybrid

Senior Function & Concept Engineer

CARIAD SE

  • Project lead and successful series launch of safety-critical modules (hold & standstill management, FailSafeStop) within a global platform software.
  • Concept and design of the logical and technical system architecture for highly automated driving functions.
  • End-to-end process ownership (requirements-to-release) to safeguard functional requirements and safety standards.
  • Primary point of contact for change and stakeholder management to align technical requirements.
  • Systematic root-cause analysis and lasting problem resolution to safeguard software quality and system stability.

06.2022 – 03.2025

Ingolstadt / Hybrid

Senior Function & Concept Engineer

CARIAD SE

  • Strategic introduction of continuous, development-integrated SiL testing to accelerate release cycles through early defect detection.
  • End-to-end validation of complex driving functions using vECUs and vehicle tests to reduce hardware dependencies.
  • Technical integration of ~70 sub-modules into the overall VMM software, ensuring runtime on the platform.
  • Technical alignment of requirements between module developers and the overarching architecture.
  • Responsible for build management, configuration, and deployment of software releases.

01.2017 – 06.2022

Ingolstadt

Function Owner, Motion Management

AUDI AG

  • Development of the logical and technical function architecture for Vehicle Motion Management (VMM) in automated driving.
  • Prototype implementation of driving functions and their commissioning and validation in real vehicle testing.
  • Design and build-out of a simulation-based development environment in Matlab/Simulink for VMM.
  • Development of automated evaluation and validation tools for efficient analysis of measurement data from testing.

10.2014 – 12.2016

Ingolstadt

Function Owner, Deceleration Management

AUDI AG

  • Function ownership and series release of deceleration management across multiple vehicle platforms.
  • End-to-end function development from design and integration through to calibration and validation in vehicle testing.
  • Directed requirements, change, and defect processes in close coordination with system suppliers and specialist departments.
  • Ensuring homologation readiness and release quality in strict compliance with ISO 26262 and market-specific quality standards.

08.2011 – 09.2014

Ingolstadt

Function Integration / Calibration, Deceleration Management

EFS GmbH / Wotech GmbH (for AUDI AG)

  • Commissioning, calibration, validation, and series release of the deceleration-management module within the electronic stability control (ESC).
  • Defect and change management to ensure stable function development.

09.2009 – 05.2011

Oberpfaffenhofen

Student Assistant

DLR – Institute of Robotics and Mechatronics

  • Diploma thesis: development of a haptic feedback device for the human foot.
  • Internship: concept study for a haptic feedback device on the foot.

08.2007 – 08.2009

Dresden

Student Assistant

Fraunhofer IZFP-D

  • Behavioral simulation of piezo materials for non-destructive testing methods.

Applied AI

2023 – present

Remote / Germany

Independent AI Architect & Engineer

Independent

  • Production PWA (React Native, Expo, Supabase) running scheduling, inventory, and six-supplier ordering for a small regional business — weekly staff scheduling cut from ~2 h to ~10 min; in daily use since 2025.
  • Two-stage document-intelligence pipeline (Python, Mistral OCR, Landing AI, Pydantic): LLM triage of incoming paper, then extraction of ~15 financial documents a day into a typed, reconciled database — a twice-yearly look at the books became article-level insight within days, at ~€0.14 per extraction.
  • n8n/LLM content pipeline that drafts a brand's daily social post behind a separate critic model and a human approval queue, then auto-publishes to Instagram, Facebook, and Google Business Profile — the generator never holds publishing credentials.

Education & Certifications

09.2005 – 05.2011

Dresden

Mechatronics (Dipl.-Ing.)

Technische Universität Dresden

  • Focus areas: robotics, hydraulics / pneumatics.

2026

Udacity

AI / ML Nanodegrees

Udacity

  • AI Programming with Python; ML DevOps Engineer.

2017

Coursera

Deep Learning Specialization

DeepLearning.AI

    Skills

    AI & Machine Learning

    Deep LearningNeural NetworksMLOps / ML DevOpsLLM application engineering (RAG, agents)Prompt engineering & evalsPyTorchMLflowWeights & BiasesDVCFastAPINumPy / pandasMatplotlibJupyterpytestModel monitoring

    Safety-Critical Systems & Architecture

    ISO 26262 (functional safety)ASPICEMBSE (Matlab/Simulink)System & function architectureVehicle Motion ManagementVirtual validation (vECUs, SiL/HiL)Requirements engineering

    Programming

    PythonC / C++C#TypeScriptSQLHTML / CSS

    Tools & Platforms

    Matlab/SimulinkCarMakerIBM DOORSCANoe / CANapeSilver (Synopsys)dSpace TargetLinkCodeBeamerSupabaseDockern8nGitHub Actions / CI-CDJira

    Languages

    German
    C2
    English
    C1
    Spanish
    A1
    Persian
    Native