Sebastian Gabriel

Master of Science
Electrical and Computer Engineering

Expected 2025

University of Washington, Seattle, USA

GPA: 3.98

Graduate Researcher: Computer Vision @ UW Robotics Lab

• Research on Computer Vision and robotics perception (PyTorch, Linux, CUDA)

Coursework

• Computer Vision: Classical and Modern Methods (Python, OpenCV,Pytorch)
• AI for Mobile Robotics: Autonomous Vehicle (ROS, Python)
• Large Language Models (Python, Pytorch)
• GPU-Parallel Programming (HIP, ROCm, CUDA, C++)

Master of Engineering
Industrial Engineering

Graduated OCTOBER 2018

University of Applied Sciences, Munich, Germany

GPA: 3.84

Projects.

• Google Startup Accelerator: Builing a smart meeting assistant based on NLP

Coursework

• Information Engineering
• Production Engineering and Automation
• Information Systems (Python, C#)

Bachelor of Engineering
Industrial Engineering

Graduated OCTOBER 2016

University of Applied Sciences, Munich, Germany

GPA: 3.67

Award

• Outstanding Bachelor Thesis by the faculty of Industrial Engineering

Coursework

• Electrical Engineering
• Sensor Systems
• Information Systems
• Principles of Computer Science

• Product Owner and Scrum Master

  Scrum.org

• Data Analyst Nanodegree, Udacity

  Udacity

• Programming for Data Science with Python

  Udacity

Research Intern, High Performance Computing (HPC) for AI

September 2024 - Present

AMD, Seattle, USA

• Developing Deep Learning transformer models, training and optimization for large scale High-Performance Computing (HPC)
• Research in deep learning for HPC applications, optimization for Hardware
• Collecting large scale synthetic dataset from GPU workload performance data (10000+ samples)

Graduate Researcher, Computer Vision

January 2023 - Present

UW Robotics Lab, Seattle, USA

• Conducted foundational research in computer vision models for robotics perception, focusing on object detection, localization, tracking; pivotal in enhancing the Amazon Robotics Manipulation project's capabilities and accuracy metrics
• Engineered and optimized transformer based neural network architectures, enhancing robotic vision system performance through training on 40,000+ sequential frames; leading to higher accuracy in object recognition and tracking
• Collaborated closely with interdisciplinary teams of 10+ people to develop cutting-edge computer vision algorithms

Algorithm Software Engineer

January 2022 - July 2023

Hyperganic, Seattle, USA

• Delivered 5+ major customer developments by implementing and optimizing algorithms, reducing manual engineering time by 95% from days minutes
• Extended 3D geometry kernel capabilities, e.g. implementation of new feature for 3D point cloud modulation of lattice structures (Data wrangling: meshes, point clouds, voxel)
• Led a team of 4 developers to deliver projects to Research Institutes and Universities in time and quality

Customer Success Manager

September 2019 - January 2022

Salesforce, Munich, Germany

• Led the success management for five key accounts (up to total order value of $5M)
• Executed business value analysis of major Salesforce roll outs for 2900+ users driving adoption
• Developed technical demos and presented to customers (Tableau and Salesforce)
• Ensured and facilitated communication between all involved parties.

Internship and Master Thesis

Apil 2018 - December 2018

Bragi GmbH, Munich, Germany

• Led a technical feasibility study for auditory applications of edge AI and edge computing (Thesis Research Project), achieving company and university recognition with a perfect grade of 4.0
• Orchestrated strategy sessions with C-suite executives to define a new business unit and roadmap, resulting in a new revenue stream which now makes up 50% of the total revenue

Internship, Bachelor Thesis and Workign Student

September 2015 - October 2017

Airbus Group, Munich, Germany

• Developed a supply chain simulation for risk anticipation (Thesis-Project) (Java)
• Gathered enterprise wide data for simulation baseline
• Foster seamless communication and collaboration with all relevant stakeholders
• Developed an enterprise wide supply chain simulation for risk anticipation, handling 1000+ major aircraft parts (Thesis Research Project), uncovering vulnerabilities and critical single points of failures
• Presented final results to executive leadership, highlighting the identification of single point of failures in 20% of production plants
• Received award for “Outstanding Bachelor Thesis” by the University Chair with the best grade of 4.0