Ramazan Gülmez

Computer Engineer

Dubai,04

Summary

Dynamic AI Engineer intern with a proven track record at Neu Ocean Technologies, excelling in backend development using Node.js And machine learning applications. Adept at enhancing data quality and predictive accuracy through innovative algorithms and effective collaboration. Strong communicator with a commitment to delivering impactful solutions in AI-driven projects. Diligent Software Engineering Intern familiar with helping create detailed application codes and design. Extensive collaboration with developers to draft and test programs for in-field rollout. Deep knowledge of Java and Git development environments to standardize and customize deployments. Offers specialized talent for generating automation frameworks and procedures.

Overview

years of professional experience

Languages

Work History

Software Engineering Intern

Neu Ocean Technologies

London, Remote

08.2025 - Current

Developed and integrated 15+ REST APIs using Node.js and for real estate platforms , supporting dynamic property listing and management workflows.
Designed and managed MongoDB databases handling 3,000+ property records, optimizing query performance and reducing average response time by approximately 20%.
Deployed and maintained production applications on Render (backend) and Vercel (frontend), ensuring stable environment configuration and version-controlled releases.
Contributed to the development of AI Agent ecosystem, implementing tool registration workflows and backend execution logic within a modular architecture.

Software Engineer Intern

GRIFONAI

Çankırı, Çankırı

06.2024 - 08.2024

Contributed to the development of 2 hardware-integrated AI components, including a data logger system and a custom simulation environment used in internal testing.
Supported Python-based model development and data-driven problem solving across multiple applied AI use cases.
Performed data preparation, preprocessing, and validation on structured datasets, improving data consistency and usability for machine learning workflows.
Assisted in ensemble learning experiments and basic model evaluation by comparing model outputs and validation results under supervision.
Collaborated with a small engineering team on applied AI research and system integration tasks, gaining hands-on experience with real-world development workflows.
Worked with developers to identify and remove software bugs.

Education

Bachelor of Science - Computer Engineering

Cankiri Karatekin University

Türkiye

04.2001 -

Skills

Programming Languages: Python, JavaScript,

Backend Development: Nodejs , MongoDB

Machine Learning & AI: Vision Transformers Random Forest, Logistic Regression, SVM, KNN

Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn

Cloud & Deployment: Git/GitHub , Render , Vercel , Environment Variables

Data Preprocessing, Feature Engineering Model Evaluation

Timeline