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Jyotshna Dammu
Intern Autonomous Driving Software Engineer specializing in ADAS controls and embedded systems
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About
Embedded control and systems-integration engineer with hands-on experience taking control logic from Simulink simulation through embedded implementation and rigorous MIL/SIL/HIL plus vehicle testing. Has built and tuned nonlinear/decentralized MPC for autonomous driving behaviors (obstacle avoidance, overtaking, multi-agent coordination) and has CI/CD experience (Jenkins/Git); currently ramping into ROS2 with Python/C++.
Experience
Education
Key Strengths
- End-to-end validation across MIL/SIL/HIL and vehicle testing for safety features
- Diagnosed simulation-to-hardware timing mismatches by comparing cross-platform signal logs and verifying sampling times/task priorities/data scaling
- Designed and tuned nonlinear MPC (bicycle model) for obstacle avoidance and autonomous overtaking with real-world constraints
- Experience with decentralized multi-agent coordination using shared state/predicted trajectories and testing for comms delays/packet loss
- Embedded deployment experience via auto code generation on NXP S32K144 plus CI/CD (Jenkins, Git) for reliable integration
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