Hi, I'm SAIFULLAH

I’m a PhD researcher in Germany working on deep learning, document analysis, explainable AI, and privacy-preserving machine learning. My recent work involves building end-to-end pipelines for multimodal models, diffusion-based generative methods, active learning setups, robustness evaluation, and privacy-aware distributed training. I work mostly in Python/PyTorch, with a focus on practical research that can be deployed or scaled. See my research page for more details on my publications and projects.

Before starting my PhD, I worked in robotics and computer vision with a strong focus on humanoid robots, including whole-body motion planning, control, kinematics/dynamics, perception, and behavior design. I also led autonomous behavior development for my university’s RoboCup Standard Platform League team, working on localization, vision, gait tuning, and multi-robot coordination. Beyond humanoids, I worked on UAV autonomy, integrating ROS and PX4 with reinforcement-learning-based control, and building GPU-accelerated perception pipelines for real-time obstacle avoidance. I deployed several systems on NVIDIA Jetson platforms and worked extensively with robotics and simulation tools such as ROS, PX4, Gazebo, VREP, and AirSim.

I've moved through robotics, vision, and now deep learning research. I still enjoy exploring new ideas, running small experiments, and improving tools or pipelines when I can. Outside of work, you'll usually find me gaming, watching anime, or hanging out with friends on Discord. Much of my work is open-source and can be found on my GitHub

Feel free to reach out if you’d like to collaborate or discuss research ideas!