Hello! I'm Hanife Kaptan, a product-focused AI engineer and Python developer. I design practical AI solutions to solve complex business problems and turn them into scalable, production-ready systems. My work spans deep learning, NLP, and autonomous agents with strong MLOps and backend engineering practices.
I believe code is not only a technical output but also a strategic tool that enhances user experience and business value. I manage the whole lifecycle from idea to deployment, balancing technical excellence and time-to-market.
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A RAG-based AI code mentor and reviewer that analyzes submitted code snippets against SOLID principles and common style guides, highlights issues, and provides interactive suggestions to improve code quality.
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End-to-end deep learning API for automated hair health assessment. Custom model architectures and optimized inference pipelines deliver precise predictions and personalized product recommendations.
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LangChain-based agents that autonomously extract product aspects and perform sentiment analysis over reviews, providing actionable customer insights for product teams.
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Semantic search engine for recipes using sentence transformers and vector search, enabling natural language queries to find the most relevant recipes quickly.
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Building autonomous agents and LLM-driven systems for complex automation.
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Experiments and production models for vision, NLP, and structured data.
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Robust, scalable backends and cloud-native deployments.
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Automation, CI/CD and model lifecycle management for production systems.
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