Dominik Lindner
@dominiklindner
Engineer focused on computer vision, ML deployment, and building cloud-connected AI products.
GermanyWhat I'm looking for
I am an engineer specializing in computer vision, optimization, and simulation with extensive experience deploying ML on embedded platforms and delivering cloud-connected ML products. I have led perception and ADAS projects, built digital twins combining vision and physics simulation, and developed multimodal RAG prototypes integrating OCR, vision models, and LLMs.
I drive technical leadership and delivery by unblocking teams, mentoring engineers, and introducing DevOps practices to improve visibility and coordination. I produce production-ready ML solutions (edge and cloud), design hybrid vehicle/cloud analytics, and publish technical writing to communicate complex ideas.
Experience
Work history, roles, and key accomplishments
DLExperience AI Engineer
Dr. Dominik Lindner
Jan 2025 - Present (11 months)
Built multimodal RAG prototypes combining OCR, vision models, and LLMs; ran edge ML experiments profiling memory and latency and delivered cloud-connected ML products and technical articles.
RGLed a 40-engineer migration of legacy code to a QNX-based ADAS platform, doubling integration speed and enabling ML-driven features; coordinated Azure data collection/labeling and designed hybrid in-vehicle/cloud analytics.
RGLed perception system development optimized for edge latency and throughput, architected Gazebo-based sensor simulation to shorten cycles, and refactored architecture to improve testability and reduce coupling.
PhD Researcher
Safran / ENS Paris-Saclay
Jan 2013 - Jul 2017 (4 years 6 months)
Built a Digital Twin combining computer vision and physics simulation to analyze metal material failure and developed CV-driven optimization models for material behaviour analysis.
Education
Degrees, certifications, and relevant coursework
FAfast.ai
Professional Development Course, Deep Learning
2025 - 2025
Completed fast.ai Deep Learning course covering foundations of deep learning.
EPENS Paris-Saclay
PhD, Computational Material Science
2013 - 2017
PhD in Computational Material Science focusing on computer vision and simulation for material behaviour, including development of a digital twin and CV-driven optimization models.
RURWTH Aachen University
Master of Science, Mechanical Engineering
Master of Mechanical Engineering completed in April 2012.
ILImperial College London
Diploma, Aeronautical Engineering
Diploma in Aeronautical Engineering completed in June 2010.
Tech stack
Software and tools used professionally
Availability
Location
GermanyAuthorized to work in
Website
storymelange.comJob categories
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