- Developed, trained and optimized various neural network architectures and loss functions.- Applied nonlinear regression models (MLP, Multimodal Embeddings, custom Resnet50) for feature extraction.- Analyzed metrics (R2, MAPE, MSE, MAE)- Utilized tools like Sci-kit Learn, Sci-py, Torch, Numpy, Seaborn, Pyplot, Pandas, Joblib.- Leveraged computational tools: SSH, GPU with CUDA, SLURM, GIT.

Object detection in industrial environments using deep learning techniques

Design of precision metrological devices. Specifically I design and simulate the behavior of an interferometer used to detect position and velocity of an unknown object. I used MATLAB and Vivado tools.