Selected Engineering Work
Representative anonymized use cases.
Customer names are intentionally omitted. The focus is on the engineering challenge, solution pattern and outcome.
Global Automotive Tier-1
Agentic AI for Requirements-to-Test Automation
AI-enabled workflow spanning requirements generation, requirement-to-test generation, test-script automation and traceability gap analysis, with human review gates.
Outcome: faster artifact creation, improved consistency and earlier visibility of requirement/test traceability gaps.
Safety-Critical Embedded Platform
Safety-Critical Software Automation
Source-code understanding, software-design-document generation, unit-test generation, test-code generation, target/virtual ECU execution support and traceability creation.
Representative savings in the source deck: ~50% for source-to-SDD, ~60–70% for SDD-to-test, and ~70–80% for unit/integration automation.
Global Automotive Tier-1
Large-Scale ADAS Validation Infrastructure
Regression framework for millions of logs, event extraction, KPI generation, cloud/HPC distributed execution, CI/CD integration and digital-twin / log-to-scenario creation.
Outcome: reusable validation backbone for scalable ADAS regression and faster defect triage.
Simulation & Validation
Digital Twin, SIL and HIL Development
Real vehicle logs → scenario generation → CARLA / digital twin → ROS playback → SIL / virtual ECU → HIL → KPI evaluation.
Outcome: repeatable closed-loop validation from real-world logs through virtual and hardware environments.