Turning ADAS validation, simulation, and safety into reliable engineering outcomes.
I design, integrate, and validate advanced driver assistance systems with a focus on model-based development, simulation workflows, sensor integration, SIL/HIL validation, and Python-based engineering tools. My work bridges virtual testing and real-world vehicle data to support safer, smarter, and more reliable automotive systems.
Engineering with validation, clarity, and purpose
I am an ADAS Systems Engineer with experience developing, integrating, and validating advanced driver assistance and autonomous driving technologies. My background combines model-based development, vehicle control logic, diagnostic tooling, simulation, and test validation across both virtual environments and real-world vehicle programs.
Engineering Focus
Advanced driver assistance systems, validation workflows, ECU integration, real-time control logic, and safety-oriented engineering practices.
Technical Strengths
MATLAB/Simulink, RoadRunner, ROS, CAN diagnostics, Python automation, data analysis, and cross-functional collaboration with OEM and Tier 1 teams.
What Drives Me
I enjoy turning complex autonomous driving concepts into practical, testable, and road-ready systems that improve reliability and safety.
Recent roles across ADAS, validation, and tooling
A summary of my recent work across ADAS development, simulation, diagnostics, and engineering tool creation.
ADAS Systems Engineer II · Astemo Americas, Inc.
Farmington Hills, Michigan
- Designed, developed, and validated ADAS features including Adaptive Cruise Control and Lane Keeping Assist using MATLAB and Simulink.
- Built simulation workflows with MathWorks RoadRunner and Unreal-connected environments to test control logic in realistic traffic scenarios.
- Developed a Python/Qt-based Overhead ACC Viewer to synchronize video, CAN signals, and top-down vehicle visualization for faster feature analysis.
ADAS Engineer · FEV North America Inc.
Auburn Hills, Michigan
- Supported embedded C/C++ and ROS-based ADAS software integration in Linux environments, helping combine multiple software modules into robust vehicle systems.
- Executed diagnostics, ECU troubleshooting, and performance analysis using CANoe, CANalyzer, CANape, CDA, and related tools.
- Contributed to Level 3 autonomous driving programs through sensor integration, DVP execution, CAN data analysis, and standards-aligned validation for EURO NCAP, NHTSA, and ISO 26262 practices.
Autonomous Technologies Intern · LHP Engineering Solutions
Pontiac, Michigan
- Worked on throttle and steering control logic for obstacle avoidance and adaptive cruise control applications.
- Developed stereo camera and radar sensor fusion modules in ROS and supported controller validation in SIL/HIL setups.
- Assisted with Level 2 self-driving vehicle testing, road data collection, and fault reporting across varied routes and climate conditions.
Featured engineering work
Selected work that best represents my ADAS, simulation, and engineering tool development experience.
Overhead ACC Viewer
Built a Python/Qt application to review ADAS test data by synchronizing video playback, CAN waveforms, and top-down vehicle and lane animations. Added support for MF4 and BLF decoding to improve analysis of ACC-related signals.
Virtual ADAS Validation Environment
Developed and validated control logic for features such as ACC and LKA using MATLAB, Simulink, RoadRunner, and Unreal-connected simulation workflows to test performance in realistic virtual traffic environments.
ADAS Sensor & ECU Validation
Supported integration, diagnostics, and performance testing of ADAS ECUs and sensors including radar, LiDAR, cameras, and ultrasonic systems using structured validation workflows and CAN-based diagnostic tools.
Tools I use across development and validation
A focused snapshot of the tools and domains I work with most often.
ADAS & Validation
ACC, LKA, AEB, ADAS Testing (L0–L3), SIL/HIL validation, sensor fusion, ECU validation, DVP execution, Functional Safety, ISO 26262, NHTSA, EURO NCAP
Software & Simulation
MATLAB, Simulink, MathWorks RoadRunner, ROS, Linux, CarMaker, model-based design, vehicle control logic
Diagnostics & Data Tools
CANoe, CANalyzer, CANape, CDA, Kvaser CAN, AB Dynamics, MF4/BLF decoding, data logging and root-cause analysis
Programming & Engineering Tools
Python, C/C++, PyQt/PySide, OpenCV, openpyxl, ASAMMDF, SolidWorks, HyperMesh, ANSYS, MotoHawk, MotoTune
Certifications and education
Professional certifications and academic background supporting my engineering work.
Certifications
- Certified SolidWorks Associate (CSWA)
- Certified SolidWorks Professional (CSWP)
- ISO 26262 Functional Safety Training
- LaunchPad 80 / Autonomous Pedestrian Testing Robot Training
- Steering & Combined Brake and Accelerator Robot (CBAR) System Training
Education
- Master of Science in Mechanical Engineering — Fairfield University, Connecticut
- Bachelor of Science in Mechanical Engineering — JNTUH, Hyderabad, India
Let’s connect
I’m open to engineering opportunities, collaboration, and professional networking.