Hi, I'm Selman Demir
Mathematical Engineering Student at Istanbul Technical University - Software Development Trainee at 42 Istanbul
I design intelligent systems that combine code, data, and purpose with a growing focus on AI-driven decision-making.
Mathematical Engineering Student at Istanbul Technical University - Software Development Trainee at 42 Istanbul
I design intelligent systems that combine code, data, and purpose with a growing focus on AI-driven decision-making.
I'm a mathematical engineering student and software development trainee at 42 Istanbul, driven by a deep interest in AI and algorithmic problem solving.
My journey began with a fascination for logic and structure which evolved into building intelligent systems that combine data, code, and real-world impact. I enjoy designing models that not only work, but think, especially in complex domains like sports analytics and decision automation.
When I'm not training deep learning models or solving LeetCode challenges, I'm usually running long distances, refining side projects, or obsessing over how to make machines slightly less stupid.
Professional certifications and achievements that validate my expertise and commitment to continuous learning.
Stanford & DeepLearning.ai
2024
Fundamental course introducing core concepts of supervised learning including linear regression, logistic regression, loss functions, and gradient descent. Includes practical implementations using Python and scikit-learn.
Stanford & DeepLearning.ai
2025
In-depth study of advanced machine learning topics such as regularization, hyperparameter tuning, decision trees, and ensemble methods. Emphasizes performance optimization and real-world applications.
Stanford & DeepLearning.ai
2025
Comprehensive program covering clustering algorithms, anomaly detection, collaborative filtering, and fundamentals of reinforcement learning. Designed to handle unlabelled data and sequential decision-making tasks.
Kaggle
2025
Practical course focused on handling missing values, categorical variables, cross-validation, and data leakage. Includes model interpretation techniques and use of pipelines for clean ML workflows.
Kaggle
2025
Hands-on course covering image classification, data augmentation, convolutional neural networks (CNNs), and transfer learning. Focuses on building vision systems using deep learning frameworks.
Key milestones, recognitions, and accomplishments that reflect my dedication to algorithmic problem solving and technical excellence.
Among ~5,000,000 users
As of 12/27/2024
Ranked in the top 0.05% worldwide by solving complex algorithmic challenges consistently across multiple topics.
LeetCode Algorithm Contests
2023–2024
Participated in 30+ LeetCode contests, consistently performing within the top percentile in timed algorithmic challenges.
LeetCode
2023
Earned the 300-Day badge for solving algorithm problems every day throughout the year.
LeetCode
2024
Maintained a second full-year streak of daily problem solving on LeetCode, earning back-to-back badges.
42 Istanbul
2023
Achieved first place in the Piscine selection program at 42 Istanbul, excelling in peer-to-peer challenges and project-based software training.
Problems Solved
Run Logged
Day of Problem Solving Streak
Here are some of my notable projects organized by category, showcasing my skills across different domains.
System programming, algorithms, and computer graphics projects from École 42 curriculum
A simple 3D game engine built in C using raycasting, inspired by Wolfenstein 3D. Features include real-time rendering, texture mapping, and smooth player movement.
Implementation of an Internet Relay Chat (IRC) server in C++. Handles multiple client connections, implements IRC protocol features, and manages real-time communication between users.
Implementation of the classic Dining Philosophers Problem. Demonstrates multithreading concepts, deadlock prevention, and race condition handling. Focus on creating efficient and safe concurrent applications.
A small 2D game developed with MiniLibX, the graphic library of 42School. Features sprite animation, collision detection, and interactive gameplay mechanics in a classic arcade-style format.
Efficient algorithm implementation to sort data using two stacks with a limited set of operations. Focuses on optimization and minimal move count to achieve sorted order.
C program that replicates the shell's pipe functionality. Reads input from a file, executes two commands in sequence, and directs the output to another file, mimicking Unix pipe behavior.
Machine learning, artificial intelligence, and data analysis projects
Final project exploring the application of artificial intelligence in mathematical engineering. Includes implementation of various AI algorithms and their practical applications in engineering problems.
Course projects and assignments from MAT381 - Introduction to Data Science. Covers fundamental concepts in data analysis, statistical methods, and data visualization techniques.
Full-stack applications, automation tools, and problem-solving projects
A comprehensive warehouse tracking system application built in Java using MySQL database and Swing interface. Features inventory management, real-time tracking, and user-friendly GUI for warehouse operations.
Automated system for tracking course quotas at Istanbul Technical University. Monitors course availability and provides real-time notifications for course registration opportunities.
Collection of solutions to mathematical and computational problems from Project Euler. Demonstrates problem-solving skills, algorithm optimization, and mathematical programming techniques.
I appreciate you taking the time to explore my work! Since you're here, why not get in touch?
Let's Connect!I'm always interested in new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!