// hello, world

Hi, I'm
Eren Balkış.

Computer Science Student & IT Intern

|
Eren Balkış

01. About Me

Hi! I'm Eren Balkış, a 4th-year Computer Science student at Istanbul University with a GPA of 3.27. My primary focus is developing functional, user-centric software products that I genuinely enjoy creating.

I have a strong interest in Artificial Intelligence and Cyber Security, and I work on a variety of projects ranging from voice cloning (RVC/TTS) and deep learning models to image processing and cryptography.

My foundation in algorithms, data structures, and OOP is built on Java and C++. I primarily develop and optimize applications using Python. I am comfortable developing in Linux environments and integrating open-source tools to build scalable, full-stack ML solutions.

Location

Istanbul, Turkey

Education

Computer Science

Istanbul University

2023 – Present  |  GPA: 3.27

Interests

AI Computer Networking Full-Stack ML

02. Experience

Galata Wind Logo

IT and Network Intern

Galata Wind Enerji (Doğan Holding)

Istanbul, Turkey August 2026 - Present

Outlier Logo

AI Training Specialist

Outlier

May 2025 - Present

Gini Talent Logo

Search Engine Quality Improvement Specialist

Gini Talent

October 2024 - June 2025

03. Skills

Programming Languages

Python C++ C Java SQL

AI & Machine Learning

Scikit-learn XGBoost PyTorch Pandas NumPy OpenCV LLMs Computer Vision Deep Learning

Backend & Web

FastAPI Next.js Streamlit Tailwind CSS REST API APScheduler

Networking & IT

TCP/IP DNS DHCP VLANs SNMP Network Monitoring

Data & Visuals

MySQL PostgreSQL TimescaleDB SQLite Matplotlib Seaborn

Cloud & Deployment

Render Vercel

Development Tools

// Version Control

Git GitHub

// IDE & Editors

VS Code PyCharm CLion

// Operating Systems

Linux (Zorin OS, Ubuntu) Windows

AI-Assisted Development

// AI Coding Tools

Antigravity Claude Code OpenCode

// Practices

Agentic Coding Prompt Engineering AI Agents

04. Projects

CardioRisk AI

Completed

A full-stack machine learning web application that predicts cardiovascular risk using clinical patient data with a Logistic Regression model.

Python Machine Learning Next.js FastAPI

Smart Transit AI

Completed

AI-powered smart city crowd management system utilizing CSRNet density map regression. It monitors transit stop overcrowding in real-time and automates dynamic bus dispatch to optimize public transportation infrastructure.

Computer Vision Deep Learning PyTorch CSRNet Streamlit

RVC TTS Studio

Completed

An interactive web application that converts text into custom voices using edge-tts and Retrieval-based Voice Conversion (RVC).

Python Streamlit RVC PyTorch

Forest Fire Prediction

Completed

A machine learning study predicting the burned area of forest fires using meteorological data, FWIs, and custom physics-based features.

Python Machine Learning XGBoost

06. What's Next?

Get in Touch

Whether it's new opportunities, collaborations, or just to say hello — feel free to reach out. I'll get back to you as soon as possible!

Send Message