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I am an AI Engineer with 5 years of experience in building high-performance ML/AI products. I specialize in scalable cloud-native architectures on Azure, leveraging LLMs (RAG), semantic search, and high-concurrency data processing to deliver enterprise-grade solutions. I have delivered intelligent maintenance agents, lead-time prediction models, and customer segmentation pipelines that optimize operations and targeting. I enjoy turning analytics into reliable, scalable systems that improve customer outcomes and operational reliability.…I am an AI Engineer with 5 years of experience in building high-performance ML/AI products. I specialize in scalable cloud-native architectures on Azure, leveraging LLMs (RAG), semantic search, and high-concurrency data processing to deliver enterprise-grade solutions. I have delivered intelligent maintenance agents, lead-time prediction models, and customer segmentation pipelines that optimize operations and targeting. I enjoy turning analytics into reliable, scalable systems that improve customer outcomes and operational reliability.

Tunahan Kilic

AI Engineer, Data Scientist, Data Analyst, +2

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I am an AI Engineer with 5 years of experience in building high-performance ML/AI products. I specialize in scalable cloud-native architectures on Azure, leveraging LLMs (RAG), semantic search, and high-concurrency data processing to deliver enterprise-grade solutions. I have delivered intelligent maintenance agents, lead-time prediction models, and customer segmentation pipelines that optimize operations and targeting. I enjoy turning analytics into reliable, scalable systems that improve customer outcomes and operational reliability.…I am an AI Engineer with 5 years of experience in building high-performance ML/AI products. I specialize in scalable cloud-native architectures on Azure, leveraging LLMs (RAG), semantic search, and high-concurrency data processing to deliver enterprise-grade solutions. I have delivered intelligent maintenance agents, lead-time prediction models, and customer segmentation pipelines that optimize operations and targeting. I enjoy turning analytics into reliable, scalable systems that improve customer outcomes and operational reliability.

Available to hire

I am an AI Engineer with 5 years of experience in building high-performance ML/AI products. I specialize in scalable cloud-native architectures on Azure, leveraging LLMs (RAG), semantic search, and high-concurrency data processing to deliver enterprise-grade solutions.

I have delivered intelligent maintenance agents, lead-time prediction models, and customer segmentation pipelines that optimize operations and targeting. I enjoy turning analytics into reliable, scalable systems that improve customer outcomes and operational reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Turkish

Fluent

Work Experience

AI Engineer at Agnicio B.V.

October 1, 2015 - Present

Developed an enterprise AI assistant for maintenance optimization, integrating Azure Knowledge Base and semantic Text-to-SQL capabilities for holistic data access. Synthesized unstructured documents and historical work order data into a single chat interface. Built a stateful conversation layer using PostgreSQL to manage user context and delivered production-ready end-to-end solution.

AI Engineer at ERIKS – Industrial Services

June 1, 2024 - August 1, 2025

Automated data enrichment workflows by architecting a custom fuzzy string-matching algorithm. Optimized system performance by migrating data processing from Pandas to Polars, deployed via scalable Azure Functions architecture.

Data Scientist at ERIKS – Industrial Services

January 1, 2025 - August 1, 2025

Engineered a Lead Time Prediction model using Gradient Boosted Trees (LightGBM), reducing delivery time variance by 30% and establishing high-accuracy performance benchmarks for procurement planning.

ML Engineer at LC Waikiki – Clothing

September 1, 2021 - May 1, 2022

Engineered a cross-channel customer segmentation framework using RFM analysis and clustering to distinguish behavioral patterns across e-commerce and retail footprints. Translated complex behavioral data into actionable marketing strategies, identifying high-value segments and driving improvements in targeting precision and conversion rates.