// hello, world

Hi, I'm
Eren Balkış.

AI/ML Engineer | Agentic AI

|
Eren Balkış

01. About Me

Hi! I'm Eren Balkış, a 3rd-year Computer Science student at Istanbul University. My primary focus is transforming theoretical knowledge into functional, user-centric software products.

I am passionate about Artificial Intelligence and System Programming, actively developing projects ranging from voice cloning (RVC/TTS) and deep learning models to image processing and cryptography.

While my solid 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.

eren@portfolio:~

$ cat about.txt

├── Name: Eren Balkış

├── Location: Istanbul, Turkey

├── University: Istanbul University

├── Major: Computer Science

├── Year: 3rd Year

└── Interests: AI, System Programming, Full-Stack ML

$ _

02. Education

IU Logo

Istanbul University

Computer Science — 3rd Year

2023 – Present

// Featured Courses:

Artificial Intelligence & Machine Learning Signal & Image Processing Object-Oriented Programming

03. Skills

skills.config.js

// Programming Languages

const languages = [

"Python" "C++" "C" "Java" "SQL"

];

// Libraries & Frameworks

/* Machine Learning & Deep Learning */

const mlDlLibs = [

"Scikit-learn" "XGBoost" "PyTorch" "Pandas" "NumPy"

];

/* Web & API (Full-Stack ML) */

const webApiLibs = [

"FastAPI" "Next.js" "Streamlit" "Tailwind CSS"

];

/* Computer Vision & Agentic AI */

const cvAgenticLibs = [

"OpenCV" "LLMs"

];

/* Visualization & Interface */

const vizLibs = [

"Streamlit" "Matplotlib" "Seaborn"

];

// Development Tools (Dev Tools)

const devTools = {

// Version Control

"Git" "GitHub"

// IDE & Editors

"VS Code" "PyCharm" "CLion" "Antigravity"

// Operating Systems

"Linux (Zorin OS, Ubuntu)" "Windows"

};

// Database

const databases = [

"MySQL" "SQLite"

];

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

05. Certificates & Achievements

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