Eren Yavuz is a Computer Engineering and Industrial Engineering student at Koç University with a passion for machine learning, optimization, and cloud-based systems. Based in Istanbul, Türkiye, combining technical excellence with strategic problem-solving to build scalable AI solutions and intelligent systems.
B.S. Computer Engineering & B.S. Industrial Engineering (Double Major) • GPA 3.83
Relevant Coursework: Deep Unsupervised Learning, Reinforcement Learning, Machine Learning, Algorithms & Complexity, Database Systems, Mathematical Programming
Optimized AWS serverless pipelines for real-time IoT anomaly detection, reducing data processing time by 50% and improving Lambda performance by 30%. Deployed ML inference systems handling billions of daily data rows.
Led laboratory sessions for 100+ students in Modeling and Simulation, providing mentorship in ARENA simulation software and advanced modeling concepts.
Developed flight reservations application using Spring Boot microservices architecture, Docker containerization, and Kafka messaging. Built responsive frontend with JavaScript and HTML/CSS.
Built MobileCLIP-based image retrieval system with long-text adaptations, achieving 25% better performance than baseline while optimizing for resource-constrained mobile environments.
Applied IPO reinforcement learning to multi-hop information retrieval, extending LeReT with discounted rewards. Achieved 20% performance improvement on Google-Flan T5 model.
Developed MILP-based optimization model for manufacturing operations, delivering 10x improvement in reducing buffer stocks compared to existing production model.
Languages: Python, Java, C, JavaScript
ML & Data: PyTorch, Pandas, NumPy, Scikit-learn
Cloud & DevOps: AWS (Lambda, S3, DynamoDB, Glue, SageMaker), Docker, Kafka
Tools & Frameworks: Spring Boot, SQL, Gurobi, CPLEX, Flutter, Pine Script
Turkish (Native) • English (Fluent) • German (Basic)