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Mustafa Kapıcı

@mustafakapc

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AI & software engineer building scalable RAG, LLM, and computer vision systems.

Turkey

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What I'm looking for

I’m looking for a role where I can bridge research and production—building scalable RAG/LLM and computer vision systems, optimizing models, using distributed training, and deploying reliably with modern MLOps practices.

I’m an AI & software engineer specializing in machine learning, deep learning, computer vision, and large language models, with hands-on experience building scalable, production-ready AI systems end-to-end. I focus on bridging the gap between research and production by combining strong model design with practical engineering best practices.

I’ve architected full-stack RAG systems with LangGraph and Gemini, and built specialized computer vision pipelines for astronomical object detection using PSF-aware Faster R-CNN models. I’m passionate about model optimization, distributed training with PyTorch DDP, and seamless deployment, backed by an MLOps mindset using tools like Weights & Biases and MLflow.

Experience

Work history, roles, and key accomplishments

Software Engineering Internship (Long Term)

Entegre Yazılım

Feb 2025 - May 2025 (3 months)

Developed a fully functional medication tracking mobile app using React Native & Expo, designed for elderly-friendly usability and offline reliability.

Integrated Google Vision OCR for automatic prescription label scanning.

Built an AI-powered scheduling module using DeepSeek LLM for adaptive reminder generation.

Implemented local notification pipelines, modular state management, and prepared t

LLM React Native Doğal Dil İşleme

Software Engineer Internship

TUBITAK UZAY

Jul 2024 - Sep 2024 (2 months)

Led the development of an astronomical object detection pipeline specialized in Point Spread Function (PSF) analysis for enhancing star and galaxy identification in FITS images.

Built a custom Faster R-CNN model with PSF-aware layers and integrated Hough-based feature extraction.

Improved detection precision significantly by leveraging distributed training (PyTorch DDP).

Implemented SEP and Pho

Deep Learning Python PyTorch Faster RCNN PSF Analysis Hough Based Feature Extraction Weights Biases Photutils Distributed Training

Software Engineering Intern

Kardelen Yazılım

Jul 2023 - Aug 2023 (1 month)

Contributed to the development of enterprise application modules using C#.NET, Entity Framework, and MSSQL Server.

Enhanced database operations, optimized query performance, and collaborated with senior engineers to improve backend reliability.

Supported UI and business logic components, ensuring consistency across the software ecosystem.

C#Bilgisayar Mühendisliği C# .NET Entity Framework MS SQL Server