Halit Ertas

Developed a two-stage ML pipeline achieving 97.94% test accuracy in binary threat detection and 88.03% in multi-class attack categorization. Built a real-time anomaly monitoring app with ASP.NET Core Web API and SignalR, backed by Kafka, Spark Structured Streaming, RabbitMQ, and Cassandra.

Built a live FOLAS monitoring module displaying tire pressure and balance telemetry via ASP.NET Core, SignalR, HTML5, and CSS3. Digitized vehicle paint-line processes with the Boyahane Press system, generating an estimated €80,000 in annual savings.

Grade: 3.30/4.00

Pursued a Software Engineering degree with a GPA of 3.30/4.00, covering blockchain, databases, AI, and distributed systems. Graduated in June 2026.

Worked as a Software Engineering Intern at Ford Otosan, focusing on NLP and LLM projects, including a RAG-based Q&A assistant with Streamlit interface.

Participated in the end-to-end development of a full-stack web application using ASP.NET Core and Onion Architecture, including database design, CRUD operations, and role-based authorization.

Cultural exchange program for developing English language skills and experiencing USA culture.

Grade: 87.39/100

Completed the preparatory program with a score of 87.39/100, focusing on advanced English grammar, academic reading and writing, and oral communication techniques.