Summary
Emanuilo Jovanovic is a Senior Machine Learning Engineer based in Belgrade with 10 years of experience building and deploying production-grade AI systems. He has deep hands-on expertise in computer vision, audio classification, and edge ML—delivering solutions from pain-detection in facial images to 3D face/landmark detection optimized with ONNX Runtime and TensorRT. Emanuilo combines model development in PyTorch with pragmatic deployment skills (Docker, Kubernetes, CI/CD, Azure) and backend services in FastAPI/Django and PostgreSQL. He has a strong track record of benchmarking and optimizing mobile inference engines (MNN, TFLite, NCNN) and shipping lightweight models for edge devices. With a master's in Software Engineering from the University of Belgrade, he blends academic rigor with startup-speed execution and a curiosity for integrating LLMs into practical products. Notably, he bridges research and operations—turning complex ML prototypes into scalable, containerized services.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at University of Belgrade, School of Electrical Engineering