About Me
I am a Computer Science student at Istanbul University-Cerrahpasa (graduating June 2025) with expertise in artificial intelligence, software development, and system optimization. Through internships at GoLive and Carbon Consulting, I've developed production-ready RAG systems, optimized LLM performance, and built automated testing frameworks that significantly improved system accuracy.
My technical foundation spans machine learning implementation, cloud deployment with AWS and Docker, and CI/CD pipeline development. I have proven experience in prompt engineering, achieving accuracy improvements from 70% to 94% in enterprise applications, and building scalable document processing systems. I am fluent in Turkish and English with basic French proficiency.
Technical Expertise
AI & Machine Learning
- Large Language Models (GPT, LLaMA)
- Retrieval Augmented Generation (RAG)
- LLM Prompt Engineering & Optimization
- Vector Databases (FAISS, Chroma)
- Intent Detection Systems
Backend Development
- Python (LangChain, Chainlit)
- Database Systems (SQL, Redis)
- API Integration & Testing
- Automated Testing (Selenium)
- Microsoft Teams API
Game Development
- Unity 2D/3D
- Game Design
- C# Programming
- UI/UX for Games
- Cross-platform Development
DevOps & Tools
- Docker & AWS EC2
- CI/CD (GitHub Actions)
- Git (GitHub, GitLab)
- Linux & Bash Scripting
- API Testing (Postman)
AI, NLP & Software Engineering
Developing production-ready AI systems with focus on document processing, conversational AI, and intelligent automation. These projects demonstrate full-stack development capabilities and real-world problem solving:
RAG Project With Gradio
August-September 2024
- Developed a RAG application using Python, Gradio, LangChain, OpenAI's GPT models, FAISS, and PyMuPDF.
- Implemented a Gradio-based UI for document uploading and NLP model customization.
- Optimized document handling with caching and deployed the app for interactive exploration.
Intelligent Document Processing Chatbot
August-September 2024
- Developed a document processing chatbot with Python, LangChain, Chainlit, and OpenAI's GPT models.
- Implemented custom text extraction and context-aware question-answering.
- Deployed on AWS EC2 with Docker and set up CI/CD pipelines using GitHub Actions.
Which Country? - Educational Quiz
March 2024
- Developed an educational web-based quiz comparing country statistics using Python/Flask and REST Countries API.
- Implemented responsive frontend with interactive flag displays and animated transitions.
- Integrated SQLAlchemy for data persistence and leaderboard functionality.
Game Development & Design
Creating interactive experiences through game development, focusing on procedural systems and engaging gameplay mechanics. Below are my personal game projects built from the ground up:
🎮 HELLRAZE
Solo Unity Project - In Development (Playable Demo)
- Developing a roguelike FPS featuring advanced procedural level generation and dynamic combat systems in Unity 3D.
- Implemented comprehensive weapon systems (revolvers, shotguns, flamethrowers) with balanced gameplay mechanics and player progression.
- Designed modular architecture supporting scalable content generation and performance optimization for smooth gameplay experience.
- Created engaging boss encounter systems using state machines and AI programming with regular community feedback integration.
Neon Ascent
April-May 2024
- Created a 2D platformer game with pixel art aesthetics and high-score challenge mechanics.
- Released on both HTML5 and Android platforms with optimized performance.
- Implemented player feedback system to refine game mechanics and user experience.
Experience
Carbon Consulting - Intern (Part-time)
İstanbul, Turkey | December 2024 - March 2025
- Worked on an SAP-integrated HR chatbot for Microsoft Teams, developing automated test systems using Selenium.
- Engineered prompt optimization solutions for LLM-based systems, improving on-behalf detection accuracy from 70.3% to 94.5%.
- Created context-aware datetime extraction prompts that dynamically incorporated relative time references, increasing accuracy from 44% to 70% with LLaMA models.
- Implemented a multi-stage intent detection system to enhance user experience by accurately identifying user intentions in ambiguous scenarios.
- Performed comprehensive manual testing, documenting issues in GitLab and collaborating with cross-functional teams to ensure SAP integration functionality.
- Utilized technologies including Python, Selenium, Microsoft Teams API, Docker, Redis, Postman, and various LLM API integrations.
GoLive - Intern (Full-time)
İstanbul, Turkey | August-September 2024
- Developed a RAG project using Python with LangChain, Chainlit, OpenAI API, and PyMuPDF libraries.
- Deployed the project on AWS EC2 using Docker.
- Implemented CI/CD pipelines with GitHub Actions for automated testing and deployment.
IEEE Computer Science Subbranch - Active Member
İstanbul, Turkey | September 2022 - January 2023
- Contributed to organizing events and workshops aimed at enhancing members' skills in computer science.