Hello, I am

Uğur Kaval

Software Developer | Machine Learning Engineer

Who am I?

A computer engineer who is constantly working hard.

A software engineer who primarily focuses on AI-driven projects but aims to shape the future through technology without being confined to a single field, always committed to continuous learning and personal growth.

Personal Info

Birthdate: 25/10/2000
Email: ugurkvlofficial@gmail.com
Phone: +90 (553) 844-2968
Skype: Uğur Kaval
Address: İzmir, Bayraklı

Download CV

My Expertise

Machine Learning

Experienced in data preprocessing, model development, and implementing solutions using technologies like TensorFlow and PyTorch.

Web Development

Proficient in developing dynamic and scalable web projects using Python and modern web technologies.

Data Analysis

Skilled in data analysis and optimization using SQL, Python, and visualization tools to deliver impactful insights.

My Projects

Explore my portfolio of AI/ML projects, web applications, and innovative solutions

UKAI: AI-Powered Crypto Trading Platform

AI/ML

Advanced AI-powered crypto trading strategy platform with 160+ technical indicators and deep learning models using LSTM, GRU, and hybrid neural networks.

PythonTensorFlowKeras+10

88% Accuracy

StockSageAI: AI-Powered Stock & Crypto Prediction App

AI/ML

Mobile application utilizing GRU and LSTM models to predict stock and cryptocurrency markets with 88% accuracy.

PythonTensorFlowKeras+11

Portfoliov: Real-Time Portfolio Tracking Application

Mobile App

Detailed mobile application for real-time portfolio tracking with dynamic charts and performance analytics for stocks and cryptocurrencies.

React NativeTypeScriptFirebase+8

Task Manager: Modern Full-Stack Task Management System

Web Application

Professional task management application built with Next.js, React, TypeScript, Node.js and PostgreSQL featuring JWT authentication, real-time updates, and modern UI/UX.

Next.jsReactTypeScript+11

92% Accuracy

YOLO-Based Image Processing Tool

Computer Vision

Real-time image processing and classification system using YOLO algorithm achieving 92% accuracy for object detection.

PythonPyTorchYOLOv8+8

89% Accuracy

NLP-Based Sentiment Analysis Model

NLP/AI

Machine learning model for sentiment analysis classifying texts as positive, negative, or neutral using advanced NLP techniques and transformer models.

PythonPyTorchTransformers (Hugging Face)+12

Let's Work Together

I'm always interested in hearing about new projects and opportunities.