Nahli Robbani

Electrical & Embedded Systems Engineer (GPA 3.55) with hands-on expertise in Real-Time Operating Systems (RTOS), Power Electronics, and Control Systems Simulation. Adept at bridging physical actuators with digital control loops, from architecting deterministic 4-task RTOS robotics algorithms to designing closed-loop Energy Recovery Systems (ERS) on ESP32. Track record includes building industrial Edge-AI Control Panels at Toyota (TMMIN), optimizing step-response tracking via Ziegler-Nichols PI tuning, and authoring published research with registered Intellectual Property (HKI) rights.

Computer & Hardware Integration Intern at PT Toyota Motor Manufacturing Indonesia (2025-04 – 2025-07)

• Engineered and fabricated an industrial-grade Control Panel Box integrating an NVIDIA Jetson Edge Computing unit (equipped with dual active cooling), an ESP32 microcontroller baseboard, and SMPS power units.
• Designed a multi-stage power protection system utilizing Main MCBs, Fuse Holders, and Digital Over/Under Voltage Protection Relays (monitoring 220V AC grid stability) to safeguard sensitive embedded computing hardware.
• Implemented opto-isolated 2-channel relay boards and heavy-duty industrial power relays to execute closed-loop hardware actuation for traffic lights and audio alarm sirens.
• Executed industrial wiring harness standards, utilizing DIN rails, slotted cable ducts, bootlace ferrule crimping, and labelled terminal block strips to ensure 99.9% hardware reliability and seamless field troubleshooting.
• Managed enclosure thermal dissipation by integrating DC exhaust fan systems to prevent edge-AI hardware thermal throttling during continuous shop-floor operation.
• Successfully built and wired a complete, field-ready Edge-AI Industrial Control Panel, boosting crosswalk safety compliance by 35% in high-risk plant zones.
• Achieved zero hardware failures and 99.9% operational uptime by enforcing proper opto-isolation and digital voltage protection against factory power surges.

Embedded Control & Systems at Universitas Negeri Semarang (2024-04 – 2024-06)

• Co-engineered closed-loop control dynamics for a dual-axis solar tracking system by executing empirical Ziegler-Nichols PI controller tuning to smooth servo actuator motion.
• Calibrated multi-channel 12-bit ADC data acquisition (LDR sensors) and configured hardware PWM timer registers (Prescaler / AutoReload) to drive 2-axis positioning.
• Analyzed system step-response oscillation curves (Kcr, Pcr) and calculated optimal Kp and Ki gain parameters to eliminate steady-state error during dynamic solar tracking.
• Eliminated actuator jitter and reduced steady-state positioning error to <2° by deploying Ziegler-Nichols tuned PI feedback loops over threshold control.
• Validated control loop throughput, verifying 72 MHz system clock and hardware timers sustain continuous zero-lag closed-loop execution.

Bachelor of Engineering (B.E.) in Electrical Engineering – Universitas Negeri Semarang (2022 – 2026)