Samuel Karatas Email & Phone Number

Istanbul, Turkey

• AirCar is pioneering autonomous urban transportation with fully autonomous, two-passenger drone taxis, and is also developing a mega cargo drone for commercial use.
• Led the architecture and development of all software stacks, ensuring compliance with FAA and EASA regulations.
• Researched and documented numerous FAA and EASA regulations to ensure software and hardware adherence to industry standards.
• Designed the data gathering process, creating the architecture, and determining key data points to collect, including designing the camera system connected to the flight controller for data synchronization.
• Integrated sensors to gather additional data points and ensured simultaneous collection of camera frames and other critical data.
• Developed a semi-autonomous labeling system for semantic segmentation and object detection models, improving labeling efficiency and accuracy.

• Spearheaded the development of custom AI models for autonomous flight systems, including Detect & Avoid, landing port detection, emergency landing area detection and GPS-less navigation.
• Researched and implemented state-of-the-art object detection, object tracking, and semantic segmentation models.
• Played a key role in enhancing GPS-less navigation by developing Siamese Neural Network, ensuring autonomous navigation in GPS-denied environments.
• Trained an object detection model to detect the landing port and multiple objects ensuring safe landings. Created the dataset by labeling objects from multiple test flight videos.
• Trained several semantic segmentation and object detection models to identify safe emergency landing spots, comparing them to select the best performing model.
• Used Generative Adversarial Networks (GANs) to augment and enrich the datasets for improved model training.

• Gained hands-on experience with AI technologies by developing and deploying various object detection models such as YOLO, Faster-RCNN, and SSD.
• Worked with Semantic Segmentation, Siamese networks, and GANs, enhancing technical knowledge of advanced deep learning architectures.
• Contributed to the development of AI-based solutions, working closely with senior engineers to implement innovative autonomous flight systems.

Istanbul, Turkey

• Smartest Company develops AI-driven products that enhance daily life by integrating computer vision and AI, making life safer, more interactive, and more enjoyable. The company's flagship product, the Smartest Helmet.
• Led an international cross-functional team of 15+ engineers and designers to develop innovative digital and hardware products, ensuring the seamless integration of AI and computer vision technologies.
• Spearheaded the development of autonomous driving software focused on reducing accidents caused by human error by 50%, using state-of-the-art computer vision and deep learning technologies.
• Directed the design and implementation of object detection, distance estimation, and lane detection systems, enabling vehicles to determine their position with precision using a single camera.
• Developed a data-gathering helmet and determined the data points required for training the AI models used in the danger prediction and alert systems.
• Managed the creation of a danger prediction and alert system that increased reaction time of the rider by 1.5 seconds, significantly enhancing rider safety and reducing the likelihood of accidents.

Genoa, Liguria, Italy

• NeuroAscend.AI is a mobile application designed for individuals at risk of Alzheimer's, Alzheimer's patients, their relatives, doctors, and caregivers. It provides personalized content, advice, and solutions to make.
• Spearheaded the creation of the Minimum Viable Product (MVP) for presentation in the pre-seed fundraising round, managing the entire lifecycle from ideation and design to implementation.
• Ensured regular progress monitoring, facilitating continuous improvements and strategic pivots to maintain alignment with user needs and market conditions.
• Provided technical leadership to an international team of 18 people, overseeing code review, debugging, quality assurance, and A/B testing to ensure optimal performance and product quality.
• Conducted strategic product planning and go-to-market strategies, ensuring alignment with business objectives and market demands.

Worked on various different projects during my studies like Who Is Most Likely and fakat.co.

Istanbul, Turkey

• Worked on several impactful augmented reality (AR) projects, with a primary focus on developing and refining AR implementations for various industries.
• Worked on the development of an administrative dashboard for an AR menu system designed for restaurants, enabling efficient management and control of the AR features for restaurant operators.

Bachelor'S Degree, Computer Software Engineering

Bachelor'S Degree, Computer Science

Studied Machine Learning, AI and Robotics and Quantum Computing in an erasmus program of 6 months in University of Hertfordshire, London.