Nayan Patel

About Nayan Patel

PROFESSIONAL SUMMARY• Proven embedded software expert and dedicated engineering professional with 17+ years of automotive software and systems experience combined with strong academic background• Accomplished engineering areas include research, concept design, requirements, systems engineering, complex algorithm and data structuring, software architecture and design, programming, modeling, and simulation, testing and calibration and engineering documentation• Very dependable, quick learner, self-motivated, team player and proven leader • Adaptable to a fast-paced working environment with high level capability of multi-tasking and excellent time management skills • Demonstrated organizational, presentation and written & verbal communication skills • Excellent problem solver with exceptional analytical and research skills SKILLS & EXPERTISE:• Development Environments/Toos: IDEs, Compiler, Debugger, Oscilloscope, Signal Generator• SW Development Environments/Toos: IDEs, Compiler Suites, Debugger, Oscilloscope, Signal Generator• Programming Languages: C/C++, Python, C# • Scripting Languages: Python, CAPL• Modeling/Simulation Tools: Matlab/Simulink, Stateflow, MagicDraw• Calibration and Diagnostics Tools: CANoe, CANalyzer, CANape, ETAS INCA, CANDella, DET• Rapid Prototyping Tools: dSPACE HILs, ControlDesk, AutomationDesk, ConfigurationDesk• Communication Protocol: CAN, LIN, GMLAN, SPI, I2C, Ethernet• Visual Design Tools: MS Visio, Enterprise Architect• Microcontrollers: Infineon, NXP, Renesas, TI• Process and standards: AUTOSAR, ASPICE, ISO 26262, UDS, MISRA• ALM Tools: Rational DOORS, JIRA, Borland StarTeam, Fogcreek FogBugz & Kiln, PTC Integrity, Rational Clearcase & ClearQuest, GitHub• AUTOSAR Development Tools: DaVinci Configurator/Developer

Experience

1. Technical Expert - Adas Sw

   Ford Motor Company

   Apr 2022 — Present · Dearborn, MI, US

   Led multiple ADAS3 and DAT2 platform software releases, coordinating cross-functional teams to deliver critical driver-assist functionality.• Implemented software quality improvements, achieving 90%+ unit test coverage and reducing post-release defects.• Conducted technical architecture and design reviews for ADAS software, ensuring compliance, reliability, and scalability.• Resolved critical DAT2 platform issues by forming cross-functional teams and establishing rapid root cause analysis (RCA) processes.• Designed scalable software architectures for new ADAS features under platform constraints.• Applied Python and C++ for data processing, analytics, and tooling; contributed to AI/ML integration in vehicle software systems.

Education

• University of Michigan

  Master of Science - MS in AI, Artificial Intelligence

• Wayne State University

  Master of Science, Electrical Engineering

  2004 — 2005

• L.D. College of Engineering

  Bachelor of Engineering (B.E.), Electrical Engineering

  1992 — 1996

Skills

• Control Systems Design
• Simulink
• Embedded C
• Matlab
• Calibration
• Fmea
• Automotive
• Engineering
• Embedded Software
• Failure Mode and Effects Analysis (Fmea)
• Hev
• Simulations
• Embedded Systems
• Automotive Engineering
• Engineering Management
• Powertrain
• Testing
• Electric Vehicles
• Vehicles