Milos K.
Machine Learning Engineer
His work spans industries and data types, including recommendation systems and complex tabular datasets.
He has demonstrated leadership in collaborative environments, contributing to and guiding teams through diverse machine learning projects. Milos is adept in the full machine learning lifecycle—from data acquisition and preprocessing to model training, evaluation, and deployment.
His technical capabilities include building models from the ground up as well as optimizing and adapting open-source solutions to meet specific business needs. Milos’s ability to blend deep technical expertise with practical application makes him a valuable contributor to AI-driven initiatives.
Expertise principale
Machine Learning6 ans
TensorFlow6 ans
OpenCV7 ansExpérience5
Team leader - machine vision
- AI-driven Nuclei and cytoplasm segmentation from 3D confocal microscopy
- Deployment of the model
- Being responsible for that part of a larger project and leading a team of 3 other engineers
TensorFlow
NumPy
PyTorchMachine Learning
DATA SCIENTIST
- Prediction of lighting strike probability using MLP and convolution networks
TensorFlowNumPy
PandasMachine Learning
DATA SCIENTIST
- Classification of the submitted personal documents on legit vs greyscale paper photocopy
- Classification of the submitted personal documents on legit vs color paper photocopy
- Deployment of those two models
- Fusion of multiple authentications algorithms in one system
- Clustering of medical reports based on textual data
TensorFlowNumPyOpenCV
KerasMACHINE LEARNING SPECIALIST
- Reinforcement learning
- Inference optimization of ML models
- Recommendation systems
TensorFlowNumPyPyTorch
MatplotlibMachine LearningAI DEVELOPMENT ENGINEER
- Work on international H2020 project
- Implementation of machine vision solutions
- Research in the field of machine learning
- Research in the field of neural network models
TensorFlowOpenCVKeras
MatlabMatplotlibÉvaluations
Excellence en ingénierie
Les performances globales de Milos lors d'une évaluation technique en direct de 90 minutes se classent dans le top 5% des Machine Learning Engineer évalués chez Proxify.
Éducation
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