Fanoos Qadri
Front Perception Module Sensing System Engineer- at General Motors
- Role
- Front Perception Module Requirement Owner at General Motors
- Location
- Troy, MI, US
- LinkedIn followers
- 500 followers
Experience
Front Perception Module Requirement Owner
Aug 2024 — Present
Owned front Camera System Architecture requirements & ADAS Alignment• Defined and owned requirements for forward vision modules supporting L0–L3 features.• Collaborated across sensor modalities to drive architecture evolution and standardization.• Supported camera placement, SoC selection, and optical performance evaluation with cross-functional input.• Evaluated next-gen image sensors and camera modules requirements for improved low-light, dynamic range, and latency performance.• Evaluated feature level expectation and broke down to system expectations • Guided perception teams with accurate inputs for AI-driven object detection and classification.• Maintained requirement traceability and alignment with safety (ISO 26262) and ASPICE processes.• Authored functional, interface and diagnostic requirements for degraded state handling, feature fail safe, and failure indication.• Facilitated integration of camera outputs with software, validation, safety, fusion, and planning teams.• Led cross-domain requirement reviews and perception KPI alignment meetings.• Ensured smooth supplier coordination and technical reviews for hardware validation readiness.• Defined camera fault-detection logic, signal validity conditions, and degraded mode criteria.• Collaborated on diagnostic requirement generation for sensor communication loss, perception failures, and thermal faults.• Supported implementation of fault escalation paths and HMI alert triggers.• Developed KPI frameworks for accuracy, latency, and detection range to validate perception quality via campaigns for data collection and labeling to support foundational model training.• Established automated tools for evaluating sensor coverage and performance.• Partnered with cross-functional leaders to define execution health metrics and escalate blockers.
Education
University of Michigan-Dearborn
Master of Science (MSc), Electrical and Electronics Engineering
2014 — 2016
Skills
- Cad/Cam
- Ansys
- English
- Education
- Teaching
- Microsoft Excel
- Secondary Education
- Research
- Lecturing
- University Teaching
- Simulations
- Labview
- C++
- Matlab
- Data Analysis
- C
- Programming
- Microsoft Office
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.