Freelance ML & Computer Vision engineer with a computational physics background
Darwin, Australia • Open to consulting and research collaboration
I build production-focused Machine Learning and Computer Vision systems—especially real-time pipelines for detection, tracking, counting, and analytics. My background is in computational physics, which helps me approach engineering problems with strong modeling, validation, and scientific rigor.
I also collaborate on scientific computing workflows involving GROMACS (molecular dynamics) and WIEN2k / Quantum ESPRESSO (DFT/materials), including analysis, automation, and reproducible reporting.
Object detection, tracking, counting, and video analytics. Real-time pipelines with performance focus (latency/FPS), multi-camera support, and deployment guidance.
End-to-end model development: dataset strategy, training pipelines, evaluation, and packaging for inference. Tailored to your data and production constraints.
Clean, analyze, and visualize data for decision-making. Reproducible pipelines, reports, and dashboard-ready outputs.
Hands-on collaboration for workflows in GROMACS, WIEN2k, and Quantum ESPRESSO—automation, analysis, and scientific computing best practices.
Selected work and recent updates, synced automatically from GitHub and Hugging Face.
dpkarcai@protonmail.com
Freelance • Consulting • Collaboration
Usually within 24 hours