- π Languages: Python, SQL, Bash
- π Frameworks & Libraries: PyTorch, TensorFlow, LibTorch, OpenCV, FastAPI
- βοΈ Cloud & DevOps: GCP, π³ Docker, Git
- ποΈ Databases: MySQL, SQLite3
- π€ ML/DL: Detection, Recognition, Optimization (Pruning, ONNX, TensorRT), Triton, W&B
- π Data Engineering: ETL Pipeline Design, Data Lake Architecture
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π¨ Image Style Transfer
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CNN-based Style Transfer
Nueral Style (CVPR 2016) Code Β· Perceptual Loss (ECCV 2016) Code Β· Learned Representation (ICLR 2017) Code -
Arbitrary Style Transfer
AdaIN (ICCV 2017) Code Β· Avatar-Net (CVPR 2018) Code -
Efficiency Improvements
Uncorrelated Encoding (Neural Networks 2021) Code Β· Compact Transfer (Sensors 2022) Code
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βοΈ Model Pruning
- Filter Pruning
Filter Puring (ICLR 2017) Code
- Filter Pruning




