As a Software / Machine Learning Engineer with numerous experiences, I take pride and excitement in the field! Offering my expertise in assisting clients with ML related projects and expanding my knowledge are important factors that draw me to this work. I earned my degree in Electrical Engineering from McMaster University, and continued on to pursue a graduate certificate in Artificial Intelligence from the University of Toronto.
Throughout my career, I have been involved in all stages of Machine Learning projects from data creation to applying different ML models. I have also been involved in applying different Artificial Intelligence models, such as Convolution Neural Network (VGG 16, resnet 50), Natural language processing (NLP), Generative Adversarial Network (GAN) and a simple 1-2 layer neural network models to real life datasets. In one of my projects, I engineered new features from the data and used them to train the machine learning model (Support vector machine). With this innovative approach, I achieved a 6-7% higher accuracy than the previous approach of passing the whole data as a feature.
Additionally, I also have 8 years of experience in desktop development using C# .net, further adding to my repertoire of skills.
Breaking down and solving problems is a crucial part of engineering and machine learning work – and a skill I would like to offer to your project needs!
Below, are some of my key technical skills:
• Languages: C#, Python, pandas, numpy, matplotlib Keras, Scikit-learn, WPF
• Applications: Visual Studio, Team Foundation Server, Anaconda, Jupyter notebook, SQL Management Studio