Sepideh Shamsizadeh
Robotics & AI Engineer
Curious enough to imagine. Bold enough to build.
About Me
I connect research with hands-on engineering to turn challenging ideas into working intelligent systems — from sensing and model development to deployment. I thrive on curiosity, technical ownership and meaningful impact. Read my full story →
Selected Engineering Impact
Selected Experience
2024–2026 ZHAW · Zurich University of Applied Sciences
Multimodal self-supervised learning, edge-cloud pipelines and resource-aware deployment.
2023–2024 Eurapco
Coordinated a generative-AI and knowledge-graph prototype for insurance.
2022–2023 University of Padova
Real-time YOLOv7 + LiDAR perception and camera-LiDAR calibration; ICRA 2024 co-author.
2017–2019 Kavosh
Led ML R&D for a clinical coding assistant, increasing accuracy from 76% to 96%.
Selected Projects
Structure from Motion
C++ 3D reconstruction pipeline using SIFT matching, multi-view geometry, bundle adjustment and Ceres Solver.
Read the write-up →PointNet · 3D Segmentation
Segmented SemanticKITTI LiDAR point clouds into traversability classes, reaching 96% accuracy.
Read the write-up →PanNote · Robot Perception
Automated panoramic annotation of people positions for mobile robots; published at ICRA 2024.
Multimodal Sensor Learning
Self-supervised IMU + GNSS representations for animal-behaviour recognition.
TISHTAR · Personal Robot
Designing and building a four-wheeled autonomous mobile robot from the ground up — Raspberry Pi and STM32, encoders, camera, LiDAR, IMU and ROS 2 — for SLAM, localization and path planning.
Follow the build log →