Leo Eckert

Master's student in Informatics specializing in medical imaging and computer vision, with proven experience developing award-winning applications and contributing to healthcare technology systems.

Education

Technical University of Munich Oct. 2024 – Present

Master of Science in Informatics Munich, Germany

University of California, San Diego Sept. 2025 – Dec. 2025

Quarter abroad San Diego, USA

Technical University of Munich Oct. 2020 – Nov. 2024

Bachelor of Science in Informatics, Application field in Medicine Munich, Germany

Umeå Universitet Aug. 2022 – Jan. 2023

Semester abroad Umeå, Sweden

Experience

Backend Engineer, Working Student Oct. 2023 – Sept. 2024

Avelios Medical GmbH Munich, Germany

Contributed to the development of a large scale, modern Hospital Information System consisting of multiple micro-services, based on Spring Boot and gRPC
Developed integration methods and processes to communicate with legacy systems in use, helping hospitals integrate their complex legacy systems into modern operations, using HL7 and FHIR standards to exchange medical data

Fullstack Engineer, Working Student Sept. 2021 – Jun. 2022

QAware GmbH Munich, Germany

Developed an internal employee time-tracking tool, helping the company compile comprehensive pricing overviews for client billing
Tutored a group of young girls on Girls' Day, introducing them to computer science and programming in a fun and engaging way

Projects

Dehazing Echocardiography Images | Python, PyTorch May 2025 – Sept. 2025

Achieved 2nd place in the Dehazing Echo 2025 Challenge (Fudan University) by developing a CycleGAN-based model to enhance noisy echocardiography images, improving image quality and preserving key cardiac structures
Presented the work at the MICCAI 2025 conference in South Korea

Memory Lanes: HackaTUM Hackathon | React, TailwindCSS, Whisper Nov. 2024

Won the Popular Vote Award among 211 projects and placed 2nd in the City of Munich challenge with a service connecting users to personal stories tied to city locations
Integrated Google Maps, QR code-based storytelling, and audio playback with live multilingual subtitles

Uncertainty Estimation for Gaussian Splatting | Python, CUDA, PyTorch Aug. 2024 – Nov. 2024

Bachelor's thesis (Grade: 1.0 — German system, equivalent to A+) developing a novel method to quantify reconstruction uncertainty in 3D Gaussian Splatting scenes
Designed a perturbation-based approach enabling uncertainty visualization in pre-trained models without pipeline modifications, improving interpretability for safety-critical 3D reconstruction applications

Mobile App for Wearable Biomedical Devices | Dart, Flutter, SQLite Sept. 2023 – Apr. 2024

Developed a Flutter mobile app for wearable biomedical device data analysis at TUM School of Medicine's Clinic for Dermatology and Allergology

Skills & Interests

Programming Languages: Java, C, C++, Python, CUDA, SQL, Dart, JavaScript, HTML/CSS

Technologies: Docker, gRPC, Spring Boot, PyTorch, OpenGL, Git, React, Flutter, PostgreSQL, SQLite

Languages: German (native), English (C2), Swedish (A2)

Interests: Digital and Analog Photography, Swimming, Running, Playing Trombone