Emir Arda Eker

Ambitious and versatile AI and Data Engineering student with a strong foundation in advanced deep learning and data science. Proficient in Python, C++, JavaScript, and C#, I have honed my skills through diverse projects—ranging from fine-tuning large language models for emergency-response chatbots to developing vision-transformer systems for brain tumor segmentation and building robust database solutions for e-commerce platforms. I bring hands-on experience with cutting-edge deep learning frameworks such as PyTorch, TensorFlow, Keras, and Hugging Face, and have successfully optimized models via quantization and pruning, including work on multimodal architectures.

In the realm of NLP, my work spans text generation, sentiment analysis, and advanced embedding techniques (BERT embeddings and Word2Vec), using libraries like NLTK and spaCy. I also possess practical expertise in deploying scalable solutions with Docker and Google Cloud, complemented by experiment tracking using Weights & Biases and TensorBoard.

Driven by a passion for developing large-scale, complex pipelines for scientific laboratories and integrating intelligent systems, I continuously explore new technologies—from game development to making researches in deep space asteroids—ensuring a broad, innovative perspective across the tech landscape.