Hi,
I'am Ekin
AI Engineer
Contact
About
I graduated from Sabancı University with a degree in Computer Science, and then completed my master's degree in Artificial Intelligence and Robotics at Sapienza Università di Roma. I have a passion for artificial intelligence and data science. My enthusiasm for this field constantly drives me to learn and explore more. I greatly enjoy working in this field and making contributions to it 🤖
Academic Projects
-
Memory Game on the Pepper Social Robot
Designed and implemented a simple memory game on the "Pepper" social robot
View Code -
UAV Trajectory Generation and Classification
Explored various generation methods via Machine Learning models and designed a novel classification technique for UAV trajectory types.
-
Guide My Boat
A navigation system designed for boats in the Mediterranean, facilitating safer and more efficient maritime travel.
Named Entity Recognition and Semantic Role Labeling with Transformers
Developed models for Named Entity Recognition and Semantic Role Labeling using modern transformer architectures
View CodeImage Segmentation with Mask R-CNN and Video Classifier
Implemented an image segmentation pipeline using Mask R-CNN on video data and integrated a domain-specific video classifier to enhance object recognition accuracy.
Web-Based Video Game with WebG
Designed and developed an interactive web-based video game using WebGL technology, focusing on immersive graphics and seamless user experience.
View CodeExplainable Image Classification on MNIST with Integrated Gradients
Implemented a neural network for image classification on the MNIST dataset, integrating gradient-based methods for explainability.
Atari Gameplay with Deep Reinforcement Learning
Applied deep reinforcement learning techniques to enable an AI system to play Atari games, demonstrating practical applications in AI.
Venice Boat Classification
Developed a machine learning model for the classification of boats in Venice using image data, employing state-of-the-art algorithms for high accuracy.
Super-Resolution Application with Residual Dense Network
Implemented a super-resolution application using a Residual Dense Network in the domain of deep learning