- Facilitate development, evaluation and productization of deep learning models for constrained environments. - Optimize performance and reduce complexity of various in- house ML models for L1 and L2 radio layers. - Co-design ML algorithms for internal and external IP blocks. - Build a forecasting time-series system using dilated causal CNNs.| - Estimate work memory load based on various physiological signals collected from sensor data.
- Design image processing system architecture and computer vision algorithms for thermal imagery analysis. - Apply deep neural network (CNN, RPN, Unet) approaches for object detection, object recognition and image segmentation. - Develop Natural Language Processing applications for document analysis and digital assistants. - Build predictive models using RNNs. - Model and develop MongoDB database to store logging data. Support database functions by designing and coding utilities.
Metropolia University of Applied SciencesMay 2017 - June 2017
- Implementing machine learning algorithms to analyze real-time video from a thermal camera. - Designing and building face recognition security system. - Creating a web application for aforementioned system.
Creating graphic artwork solutions from concept to completion.
TensorFlow, SQL, R Language, PyTorch, Python, OpenCV, MongoDB, Machine Learning, Keras, Java, Graphic Design, Deep learning, Data analysis
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