Hi, I'm Selman Demir
Mathematical Engineer & Competitive Programmer
Top 0.05% LeetCode solver with 1,700+ problems solved. Building intelligent systems that combine mathematical precision with real-world impact.
Mathematical Engineer & Competitive Programmer
Top 0.05% LeetCode solver with 1,700+ problems solved. Building intelligent systems that combine mathematical precision with real-world impact.
I'm passionate about the intersection of mathematics, programming, and artificial intelligence. My journey is driven by curiosity and a desire to solve complex problems through elegant, intelligent solutions.
My fascination with logic and structure led me to discover the power of combining mathematical rigor with computational thinking. I love building systems that don't just process data they understand patterns, make decisions, and continuously improve. Whether it's optimizing algorithms for competitive programming or designing neural networks for real-world applications, I find joy in the elegant solutions that emerge from this intersection.
Beyond the code, I believe in maintaining a balanced lifestyle. Long-distance running keeps me disciplined and clears my mind, while competitive programming sharpens my problem-solving skills. When I'm not optimizing algorithms or training models, you'll find me exploring new technologies, contributing to open-source projects, or simply enjoying the process of making machines a little bit smarter.
Worked as a software engineering intern, gaining hands-on experience in software development, contributing to real-world projects, and learning industry best practices in a professional environment.
Completed the comprehensive software development program at 42 Istanbul, focusing on system programming, algorithms, and computer graphics. Worked on projects like Cub3D, IRC Server, and Dining Philosophers to develop strong programming fundamentals and problem-solving skills.
Completed the intensive 26-day Piscine selection program at 42 Istanbul, achieving first place among participants. This intensive coding bootcamp focused on peer-to-peer learning, project-based challenges, and developing strong programming fundamentals in C language.
Pursuing a degree in Mathematical Engineering, combining mathematical theory with practical applications in engineering. The program covers advanced mathematics, optimization, data science, and their applications in solving complex engineering problems. Expected graduation in 2026.
Stanford & DeepLearning.AI
2024–2025
Machine Learning Specialization covering supervised learning (regression and classification), advanced algorithms including regularization, decision trees, and ensembles, and unsupervised learning with recommenders and reinforcement learning foundations.
DeepLearning.AI
2025
Deep Learning Specialization covering neural networks and deep learning foundations, hyperparameter tuning and optimization, structuring machine learning projects, convolutional neural networks for computer vision, and sequence models including RNNs, attention, and transformers.
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.
DeepLearning.AI
2025
Certificate in Natural Language Processing (NLP) with a focus on text classification, vector space models, TF-IDF, word embeddings, and sentiment analysis. Includes hands-on projects using Python and NLP libraries.
DeepLearning.AI
2025
Certificate in Natural Language Processing (NLP) focusing on probabilistic models, sequence labeling, and language modeling. Includes practical applications in Python and NLP libraries.
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
January 2023 - January 2025
Maintained a combined streak of over 700 consecutive days of daily algorithm practice on LeetCode across this period.
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.
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.
Developed a hybrid deep learning model combining CNN feature extraction with LSTM temporal modeling for video action recognition using PyTorch on UCF101 dataset. Implemented Conv2D layers for spatial feature extraction from video frames, followed by LSTM layers to capture temporal dependencies across frame sequences. Achieved competitive accuracy on multi-class video classification task with data augmentation and regularization techniques.
Developed AI-powered aviation solutions using YOLO object detection for TEKNOFEST competition organized by TÃœBITAK. Implemented computer vision algorithms to address real-world aviation industry challenges, focusing on innovative AI applications for aircraft detection and monitoring. Participated in Turkey's largest aerospace and technology festival competition.
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.
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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!