Houssain Y.
Telematics Component Engineer
Experience
Oct 2023 - Present
2 years 2 monthsMossville, United States
Telematics Component Engineer
Caterpillar
- Develop and improve the electrical and electronic hardware used in engine and machine systems.
- Design and construct telematics devices.
- Work with various team members to understand the application requirements and performance needs.
- Lead Gateway reviews and update stakeholders on the life cycle of a project.
- Collaborate with suppliers on various projects.
- Strong focus on quality by performing simulation, analysis, verification, and validation testing at the component level, subsystem and system level.
- Troubleshoot complex design and field issues to improve performance and cost.
Jun 2021 - Oct 2023
2 years 5 monthsMossville, United States
Telematics Support Engineer
Caterpillar
- Converted environmental & EMC/EMI test benches (temp/humidity cycling, shock/drop/vibration, salt fog/UV, BCI, radiated immunity/emissions) into data-first workflows: centralized acquisition, precise time-sync, and rich metadata for modeling.
- Built Python + shell/batch automation to control network managers and cell radios over RS232/RS485/CAN/Ethernet, orchestrate runs, and stream logs/telemetry into structured, ML-ready time-series datasets.
- Developed analytics/ML pipelines (feature engineering from time/frequency domains—FFT/STFT) for anomaly detection and pass/fail risk scoring; supported root-cause analysis of defects, safety risks, and performance issues.
- Partnered with suppliers and design/production teams to translate V&V plans and field-return investigations into labeled datasets; closed the loop on reliability improvements with data-driven insights.
- Authored clear, audit-ready documentation and reports (data schemas, feature definitions, pipeline diagrams, model cards, and V&V records).
- Debugged across HW/SW boundaries; instrumented devices, validated telemetry integrity, and built simulators/mocks to reproduce edge cases outside the lab.
Summary
AI Engineer with 5+ years across telematics and embedded systems, building data pipelines and deploying ML for reliability, vision, and predictive analytics. Shipped automation for sensor/ECU test rigs, trained CV/NLP models (PyTorch/BERT/EfficientNet), and stood up MLOps for reproducible experiments and edge/cloud inference.
Languages
Arabic
AdvancedEnglish
AdvancedFrench
AdvancedEducation
University of Illinois
Bachelor of Science · Electrical Engineering · Chicago, United States · 3.52/4.00
Georgia Institute of Technology
Master in Machine Learning · Machine Learning · Atlanta, United States
Certifications & licenses
Python
Six Sigma White Belt
AWS Cloud Practitioner
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