Jean Varughese Eapen

Led feasibility study & business case for a new steering product (truck/bus/coach); secured leadership funding. OEM technical advisor on product selection, compatibility & integration. Own customer needs analysis, translating requirements into solutions. Coordinate with Systems Engineering on ADAS-integrated steering requirements. Lead customer vehicle validation & homologation support.

Planned & prioritized Radar/Camera test programs against evolving customer requirements. Owned requirements traceability & test-coverage reporting to stakeholders. Led ADAS validation (ACC, AEB, Traffic Sign Recognition, Lane Departure Warning) adapted for the Indian market. Analyzed market/infrastructure data to guide regional requirement localization.

Led cross-functional team building an ADAS demo vehicle, presented to the AISC industry panel. Directed Camera/Lidar/Radar validation across vehicle & HIL environments for German/Japanese OEM programs. Translated customer requirements into test cases; reported results driving go/no-go decisions. Trained & mentored new engineers, incl. driver-training courses.

Validated Camera/Lidar/Radar sensor-fusion systems for global OEM programs. Completed 4-month on-site assignment at Continental Japan (Autonomous Emergency Braking, Traffic Sign Assist). Partnered with customers to resolve field issues, feeding insights into product improvement. Collaborated cross-functionally to improve ADAS sensor performance from validation data.

Developed diagnostic tool content & system documentation for vehicle convenience systems (park assist, seat electronics, anti-theft). Created wiring diagrams & docs across multiple automotive brands; researched control units, sensors & vehicle networking architectures.

Built foundation in EV systems: test rig design, specification verification, drivetrain component testing. Established test procedures; coordinated cross-functional teams on test objectives & results.

Designed a sub-zero test rig evaluating EV powertrain/transmission behavior (Master's Thesis project). Assessed EV drivetrain endurance and drive-cycle efficiency (Wh/km) across varying temperature conditions.