At Present specializing in AI Engineering. Currently working on solutions for streamlining B2B processes with AI innovations at Deep Learning TitansHuggingface public projects - https://huggingface.co/DL-TITANSRepository of Data Science Projects - https://github.com/johnhtc23?tab=repositories• Worked on developing the object detection, semantic segmentation and instance segmentation model like MASK RCNN, Faster RCNN, UNET• Strong theoretical knowledge on supervised and unsupervised machine learning algorithms.• Hands on experience in implementing supervised ML algorithms like linear regression, logistic regression, decision trees, naive Bayes, Random forest, ANN, CNN, LSTM, SVM, GBM & Xgboost.• Hands on experience in implementing unsupervised ML algorithms like k-means clustering, hierarchical clustering, PCA • In-depth knowledge of statistical analysis and modelling in languages like Python.• Hands on experience with DL frameworks like TensorFlow, Pytorch and Keras.•Good knowledge about the deep learning architectures like Faster RCNN, YOLO, UNET modelsPortfolio for UX design - https://johnwolv23.myportfolio.com