Emre Gökcek

CS Student | Europoor | Grindcel

About Me

I am a 24-year-old CS Student at Heinrich-Heine University Düsseldorf, currently in my last semester. My passion lies in Deep Learning, particularly in Natural Language Processing (Search and Retrieval) and Computer Vision (autonomous driving). But my main aspiration is to build and work on awesome things that will enrich the lives of as many people as possible in the upcoming Intelligence Age.


I am also really into Nogi Grappling and learning Japanese (Currently A2 level). I also use Linux btw.

Experience

Internship Data Science at FoxBase

Oct 2024 - present

Working on the Semantic Search part of the Digitizer product to improve businesses' product search capabilities.

Technologies: Python, Haystack, FastAPI, Qdrant, AWS Bedrock, RAG, LLM Finetuning, Data Pipeline Building

Working Student Software Development at CQSE GmbH

Feb 2024 - Oct 2024

Contributing to the Teamscale Software Quality Analysis tool within the UI/Usability and Test Coverage Squad.

Technologies: Java, JavaScript/TypeScript, React, Soy Templates, API Development, UI Testing, JUnit, Playwright, UX Dev, Docker, Linux

Working Student Software Development at Mitsubishi Electric German Branch

Sep 2023 - Feb 2024

Engaged in the FA-EDC department, focusing on database maintenance, product management, and expanding REST APIs.

Technologies: Python, JavaScript, Vue.js, bash scripting, API Development, Database Management (esp MongoDB), AAS-Model (Industry 4.0), Docker

Teaching Assistant at Heinrich-Heine University Düsseldorf

Oct 2022 - Aug 2023

Facilitated courses on Java programming basics and computer network fundamentals. I held weekly tutorials, graded weekly assignments and responded to questions asked in our Forums.

Education

Bachelor of Science in Computer Science

Heinrich Heine University Düsseldorf (Oct 2021 - Present)

Grade: 1.70 (German) / 3.3 GPA (American)

Favorite Courses: Professional Software Development I & II, Computer Architecture, Data Science, Machine Learning, and Intro to Deep Learning

Projects

Splitter - Money Splitting Web Application

A simple web application to allow users to split their group bills with as little transactions as possible.

Technologies: Java, Spring Boot, Thymeleaf, HTML, CSS, PostgreSQL, Onion Architecture, Unit Testing, Domain-Driven Design, SQL, Spring MVC, REST APIs, Docker, OAuth.

View on GitHub

Hackathon - Age Prediction from Retina Images

Developed during a competitive hackathon, this project involved training and fine-tuning a ResNet 152 model to predict a person's chronological age based on their retina images.

Technologies: Python, PyTorch, Numpy, Pandas, ResNet 152, Data Preprocessing, Data Cleaning, Data Augmentation, Hyperparameter Tuning, Feature Engineering

View on GitHub

Semantic Search Application

A hobby project to prepare for my upcoming internship. It's a simple gradio-based Semantic Search application, where I experimented with different models.

Technologies: Python, PyTorch, Numpy, Pandas, Data Cleaning, Embedding Models, Sentence Transformers Library (Huggingface), Gradio, Qdrant

View on GitHub