Beschreibung

Hey there! 👋

I’m a Computer Vision Engineer with 7 years of experience developing and deploying high-performance vision systems for real-world use cases. My focus lies in scalable deep learning, robust data workflows, and efficient deployment for both cloud and resource-constrained edge environments.

CORE SKILLS

Training: PyTorch + Lightning, RayTune-based distributed tuning, CI/CD, containerized experimentation (Docker, docker-compose)

Advanced ML: adversarial robustness (rFGSM, rPGD), neural architecture search (NAS), domain generalization, domain shift mitigation

Data Inspection: FiftyOne (Voxel51), embedding-based visualization, matplotlib, seaborn

Data Workflows: scalable CVAT-based pipelines, model-in-the-loop automation, reproducible data versioning (DVC, MLflow), synthetic data generation (CLIP, StableDiffusion)

Optimization: quantization, pruning, knowledge distillation, model compression

Deployment: Triton Inference Server (cloud and on-prem), GPU preprocessing with DALI, DeepStream & TensorRT (Jetson), OpenVINO, custom GStreamer plugins, CUDA-accelerated inference, real-time C++/OpenCV systems

Branchenexpertise

Sprachen

Russisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Deutsch
Verhandlungssicher

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

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