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Hi there! I'm an AI/ML engineer with a strong software engineering foundation, passionate about building and evaluating generative AI systems that scale. I enjoy turning research insights into robust, production-ready solutions. In my work, I design end-to-end pipelines for LLMs, vector search, and retrieval-augmented generation, and I pay close attention to model evaluation, failure analysis, and system reliability. I thrive in collaborative, cross-functional environments and love translating complex concepts into practical, maintainable software.…Hi there! I'm an AI/ML engineer with a strong software engineering foundation, passionate about building and evaluating generative AI systems that scale. I enjoy turning research insights into robust, production-ready solutions. In my work, I design end-to-end pipelines for LLMs, vector search, and retrieval-augmented generation, and I pay close attention to model evaluation, failure analysis, and system reliability. I thrive in collaborative, cross-functional environments and love translating complex concepts into practical, maintainable software.

Nuroy Kutunceleren

AI Engineer, Data Scientist, Full Stack Developer, +3

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Hi there! I'm an AI/ML engineer with a strong software engineering foundation, passionate about building and evaluating generative AI systems that scale. I enjoy turning research insights into robust, production-ready solutions. In my work, I design end-to-end pipelines for LLMs, vector search, and retrieval-augmented generation, and I pay close attention to model evaluation, failure analysis, and system reliability. I thrive in collaborative, cross-functional environments and love translating complex concepts into practical, maintainable software.…Hi there! I'm an AI/ML engineer with a strong software engineering foundation, passionate about building and evaluating generative AI systems that scale. I enjoy turning research insights into robust, production-ready solutions. In my work, I design end-to-end pipelines for LLMs, vector search, and retrieval-augmented generation, and I pay close attention to model evaluation, failure analysis, and system reliability. I thrive in collaborative, cross-functional environments and love translating complex concepts into practical, maintainable software.

Available to hire

Hi there! I’m an AI/ML engineer with a strong software engineering foundation, passionate about building and evaluating generative AI systems that scale. I enjoy turning research insights into robust, production-ready solutions.

In my work, I design end-to-end pipelines for LLMs, vector search, and retrieval-augmented generation, and I pay close attention to model evaluation, failure analysis, and system reliability. I thrive in collaborative, cross-functional environments and love translating complex concepts into practical, maintainable software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Turkish

Advanced

Work Experience

AI/ML Evaluation & Debugging Contractor (Project-based) at Remote

August 1, 2025 - Present

Designed, evaluated, and debugged machine learning and Generative AI pipelines, identifying failure modes across data preprocessing, model inference, and retrieval components. Analyzed LLM-based workflows, including retrieval-logic, embedding quality, and output consistency; proposed systematic fixes to improve reliability and robustness.

Software Engineer at Argela Technologies

April 1, 2021 - October 1, 2022

Developed production-grade Python and C++ software for large-scale telecom and network systems. Applied object-oriented design principles in Agile environments to deliver scalable, maintainable components. Participated in debugging, issue triage, and integration testing to improve system stability and performance.

AI/ML Evaluation & Debugging Contractor at Remote (Contractor)

August 1, 2025 - Present

Designed, evaluated, and debugged machine learning and generative AI pipelines, identifying failure modes across data preprocessing, model inference, and retrieval components. Analyzed LLM-based workflows, including retrieval logic, embedding quality, and output consistency, proposing systematic fixes to improve reliability and robustness. Performed structured model evaluation using quantitative metrics and qualitative analysis; documented root-cause analyses and actionable improvement strategies.

AI/ML Evaluation & Debugging Contractor (Project-based)

August 1, 2025 - Present