Irvan Rizqullah Fikardi

Working Student, Embedded Software · Hannover

• Developed firmware in C/C++ for STM32 and ESP32 microcontrollers with modules ranging from low-level drivers to FreeRTOS integration.
• Debugged motor and sensor faults with contributions to PCB revisions.

Working Student, Embedded Software · Hannover

• Developed firmware for several PCB prototypes, from schematic analysis and firmware planning through to the commissioning of functional systems.
• Implemented hardware-related functions for device control, measurement data acquisition, calibration, and error handling.
• Integrated microcontrollers, Raspberry Pi, peripherals, and host systems through communication interfaces.
• Debugged and validated prototypes in the lab and automated measurement, test, and lab workflows.

Leibniz Universität HannoverResearch Assistant

• Developed and integrated C/C++ components for encoder/decoder software for MPEG-G-based genomic data compression.
• Implemented compression algorithms in the MPEG-G Reference Software and integrated them into existing codec structures.
• Implemented unit and round-trip tests to verify encoder/decoder correctness and maintained technical documentation.

Semester Project, L3S Research Center, Leibniz University Hannover

• Finetuned a JEPA-based ViT encoder mapping contact images from DIGIT and GelSight tactile sensors into a shared latent space.
• Pretrained the PixelDiT decoder from scratch to generate contact images in pixel space, conditioned on the target sensor's reference background.
• Preprocessed terabytes of raw sensor recordings into 2 million frame-level samples and designed the augmentation policies.
• Built the config-driven harness for both stages, with dataset registry, checkpoint/resume, and DDP dispatch; evaluated self-reconstruction by PSNR and cross-sensor generation from unpaired data.

Student Project, L3S Research Center, Leibniz University Hannover

• Developed an ML/signal-processing pipeline for vibroacoustic seven-microphone sensor data for more robust contact localization.
• Built a reproducible PyTorch Lightning/Hydra workflow with W&B logging, checkpointing, evaluation, inference CLI, and Slurm scripts.
• Developed the noise_separation module in the VibroSense repository; credited by name in the README.

Leibniz University Hannover

Specialization: Machine Learning

Hochschule Hannover, University of Applied Sciences and Arts

Specialization: Computer Engineering

• Extended calibration methods for digital broadcast receivers, including frequency offset calibration; implementation in MATLAB/Python and integration through MQTT/REST.
• Final grade: 1.0.

• Developed internal laboratory and test devices for radio signal transmission and calibration; firmware with MicroPython, Flask backend on Raspberry Pi, and Linux device integration.