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I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots. In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.…I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots. In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.

Mira Haghpanah

PRO

AI Engineer, Data Scientist, Data Analyst, +1

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I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots. In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.…I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots. In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.

Available to hire

Montreal, Canada

I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots.

In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Fluent

Spanish; Castilian

Beginner

Persian

Fluent

Work Experience

Graduate Researcher at IntRoLab

September 1, 2022 - September 1, 2025

Worked on assistive mobile robotics within an interdisciplinary team, developing ROS-based navigation and perception modules for an intelligent wheelchair. Combined deep learning and computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time, integrating this perception into social path-planning strategies. Led experiments, dataset creation, and system validation in simulation and lab environments.

R&D Team Member at Mersa Co.

September 1, 2019 - August 1, 2021

Contributed to product R&D through design validation, technical documentation, and hardware–software integration. Collaborated across teams to refine system performance and ensure reliable prototypes.

Data Analyst & Project Manager at Behbud System

January 1, 2014 - January 1, 2019

Coordinated projects and data workflows with technical and client teams to deliver data-driven insights. Developed dashboards and analyzed trends to support strategic decision-making. Implemented continuous process improvements to enhance operational efficiency.