Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 0

I have participated in CSC Hackathon 2021 and FTI Hackathon 2022. Placed 6th and 5th places respectively.
I have implemented these Machine Learning architectures(using TensorFlow): basic CNN(with padding, etc.), ResNet, YOLO, U-Net, Neural Style Transfer, Face Recognition Network(using Triplet Loss function), basic RNN, LSTM model for music synthesis, Character level language model(synthesis of dinosaurs names), Debiasing of Word vectors, Text Emojifying(using Embeddings), Neural Machine Translation(using Attention mechanism), Trigger Word Detection, Transformer Network(using Positional Encoding), NER, QA.
Also, I applied transfer learning to the MobileNet architecture. In DRU online school I gained experience in implementing ML algorithms from scratch and establishing a working ML system using Flask and Docker.