COMPUTER VISION RESEARCH · SOFTWARE ENGINEERING
Luke Mikat
Building intelligent systems that connect visual perception, sensors and the physical world.
About
I am a Media Informatics graduate specializing in computer vision, 3D reconstruction, robotics and immersive technologies. My work focuses on building intelligent systems that combine visual perception, sensor data and interaction with the physical world.
During my research at the HumanVRLab, I developed computer vision and motion capture systems integrating RGB cameras, IMU sensors and human pose estimation pipelines. My work involved distributed camera systems, synchronization frameworks, SLAM-based tracking, and experimental VR environments.
My Master's thesis explored personalized 3D hand reconstruction and video-to-texture mappingfor applications in human-computer interaction and robotic systems.
I enjoy working at the intersection of research and software engineering, turning concepts from computer vision and machine learning into robust and scalable systems.
TECHNICAL INTERESTS
COMPUTER VISION · ROBOTICS · XR
Education
M.Sc. Media Informatics
Berliner Hochschule für Technik (BHT)
April 2023 — July 2026
Specialized in computer vision, machine learning, data science and DevOps-driven software engineering. The program focused on developing intelligent systems combining AI methods, sensor data and modern software development workflows.
Master's thesis: "3D Hand Shape Estimation for Video-to-Texture Mapping", conducted within a DFG-funded research project focusing on personalized 3D reconstruction, computer vision pipelines and robotic applications.
B.Sc. Media Informatics
Berliner Hochschule für Technik (BHT)
October 2019 — March 2023
Built a broad foundation in software engineering, computer science fundamentals and interactive systems, with a strong focus on web engineering and application development.
The program covered web technologies and framework performance analysis, database systems, algorithms and data structures, computer graphics, UI/UX design and native application development.
My bachelor's thesis investigated the performance of modern web engineering frameworks, analyzing their architectural approaches, runtime characteristics and suitability for different application scenarios.
Experience
Computer Vision Research @ Intelligent Interactive Systems Group (IISY)
Student Research Assistant for Prof. Dr. Kristian Hildebrand
Berlin, Germany
June 2024 — July 2026
- Developed computer vision and motion capture systems for research applications, integrating RGB cameras, IMU sensors and human pose estimation pipelines.
- Engineered a distributed camera synchronization framework supporting multimodal cameras, wireless Android camera integration and hardware timing control using C on Teensy microcontrollers with network-based synchronization protocols.
- Built research infrastructure including sensor data processing, SLAM-based smartphone trajectory reconstruction, Docker environments and VR study frameworks using C#, networking and backend services.
Web Engineering @ form4
Working Student — Full Stack Web Developer
Berlin, Germany
March 2022 — October 2022
- Developed and maintained customer web applications using TYPO3, PHP, React and SQL.
- Implemented frontend components, backend functionality and database solutions for production applications.
- Worked with GitLab workflows, Docker environments and CI/CD pipelines while collaborating in Scrum teams and transitioning from traditional ticket-based Waterfall processes.
Projects
3D Hand Shape Estimation
OpenCV • Open3D • PyTorch
Master's thesis within a DFG-funded research project focused on personalized 3D hand reconstruction. Developed a complete pipeline for 3D hand shape estimation, video-to-texture mapping and evaluation, combining computer vision methods with robotic hand applications.
Video-to-Texture Mapping for Hand Reconstruction
OpenCV • Open3D • PyTorch
Research project on personalized 3D reconstruction and video-to-texture mapping for robotic applications. Developed a complete pipeline for 3D hand shape estimation, video-to-texture mapping and evaluation, combining computer vision methods with robotic hand applications.
Distributed Camera Synchronization Framework
C • Java • Android • Teensy • Ethernet • Computer Vision
Designed and implemented a distributed synchronization framework for multi-modal motion capture systems, integrating industrial FLIR cameras, wireless Android camera clients and Qualisys motion capture. Developed embedded firmware for a Teensy microcontroller providing hardware trigger generation, Ethernet communication, client management and precise network time synchronization while extending Google's CaptureSync framework for laboratory research workflows.
Icebreaker — Cross Platform Mobile Application
React Native • Expo • Firebase • SQLite
Designed and developed an offline-first multiplayer mobile application for iOS and Android. Implemented multilingual content management, community features, local database synchronization and a scalable architecture supporting thousands of users.
Image Similarity Search
Python • Flask • OpenCV • Three.js
Built an interactive visual search system for exploring image datasets using computer vision techniques. Implemented feature extraction, similarity ranking and an intuitive 3D visualization interface for image retrieval.
Technical Skills
Programming Languages
Core languages used for software engineering, research and application development.
Computer Vision & AI
Machine learning and perception systems for intelligent visual applications.
Frameworks & Libraries
Modern frameworks for building scalable software systems.
Robotics, Sensors & XR
Connecting software with sensors, physical systems and immersive environments.
Databases & Backend
Data-driven applications and backend infrastructure.
Tools & Platforms
Development workflows and engineering infrastructure.
Contact
Interested in computer vision, robotics, XR or building intelligent software systems?
I am always interested in discussing research, innovative projects and opportunities where software engineering meets machine learning and real-world applications.