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π§ LLM ENGINEERING Designing intelligent language systems β from prompt architecture to production assistants.
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π RAG ARCHITECTURES Vector-based retrieval systems connecting knowledge bases to reasoning models.
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π€ AI AGENTS Multi-agent systems that plan, delegate, and execute autonomous decision workflows.
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π MULTIMODAL AI Vision + language systems fused for real-world perception and understanding.
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ββββββββββββββββββββββββββββ SYSTEM MAP ββββββββββββββββββββββββββββ
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π§ AI CORE 
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π COMPUTER VISION 
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π€ AUTONOMOUS SYSTEMS 
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
CORE LANGUAGES
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An intelligent agent ecosystem combining LLM reasoning, retrieval, and autonomous workflows β built for public-sector deployment. Stack:
Impact: Unified multi-agent orchestration across retrieval, reasoning, and task execution. |
AI-driven autonomous platforms fusing robotics, perception, and real-time decision-making for navigation and interaction. Stack:
Impact: Perception-to-action pipeline for autonomous platform navigation. |
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π FinTech Competition Award β 1st Place, Istanbul GeliΕim University FinTech Category
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Engineering the systems that will think, perceive, and act on their own.