Zeki Onur YUKSEK
Generative AI Engineer
Istanbul
Summary
Results-driven AI Engineering Master's student with over two years of hands-on experience in machine learning model development, data science, and business intelligence. Demonstrated expertise in end-to-end AI project delivery for enterprise clients, specializing in predictive modeling, computer vision, large language models (LLM), generative AI, natural language processing (NLP), and statistical analysis. Proven ability to collaborate across functions and deliver innovative AI-driven business solutions that enhance efficiency and decision-making. Committed to leveraging advanced analytical skills to address complex challenges and contribute to organizational success.
Overview
2
2
years of professional experience
2
2
Languages
Work History
AI Engineer – Data Scientist
Metric Software Consulting
10.2023 - 07.2025
- End-to-end AI evaluation systems development with real-time conversational interfaces
- Competency-based assessment frameworks using multi-modal AI architectures
- Advanced prompt engineering and context management for assessment scenarios
- Semantic matching algorithms for candidate-job fit analysis and qualification scoring
- Real-time behavioral analysis with automated scoring and feedback generation systems
- User behavior anomaly detection systems (session monitoring, interaction tracking, attention analysis)
- Large Language Model (LLM) API orchestration and optimization pipelines
- Microservices architecture development using containerization (Docker, Traefik)
- Workflow automation and monitoring with alerting systems(n8n)
- AI-powered code assistance integration using autonomous development agents
Python Developer – Data Scientist
Eastroad.com
06.2023 - 09.2023
- Conducted fine-tuning of Large Language Models (GPT-4, Claude) for code generation tasks in Python and JavaScript.
- Performed quality assessment of AI-generated code, integrating human feedback to improve output reliability.
- Created comprehensive technical documentation for AI training datasets, including guidelines and use cases.
- Developed test cases and optimized algorithms to enhance machine learning model performance.
Education
Msc - Artificial Intelligence Engineering
Uskudar University
01.2026
Bachelor of Science - Software Engineering
Uskudar University
04.2001 -
Skills
- Artificial intelligence and machine learning expertise
- LLM API integration
- Retrieval-Augmented Generation (RAG) Systems
- Model Context Protocol (MCP) Implementation
- Neural language processing
- Deep Learning & Behavioral Pattern Analysis
- Anomaly Detection & Statistical Pattern Recognition
- Vector Databases & Semantic Search Technologies
- Model Performance Benchmarking & A/B Testing
- AI Development Platforms & Workflow Tools
- Advanced Prompt Engineering & Context Optimization
- AI Chain Development Frameworks (Langchain)
- LLM Observability & Analytics (Langfuse)
- Autonomous AI Development Agents (Cline, Roo Coder)
References
Ferhat Bakan – CEO at Metric Software Consulting – +90 537 894 4141
Süleyman Çağlar Yildirim – CEO at Eastroad – +90 505 623 9663
Satılmış Bakan – Team Lead at Metric Software Consulting – +90 544 839 0275
Ali Yildiz – Solution Architect – +90 532 463 6538
SOCIAL
- Github.com/zeki-onur-yuksek
- Linkedin.com/in/zekionur yuksek
Key Projects
- Financial News Summarization & Classification
Used BART and GPT-based models to summarize and classify stock market news.
Built a pipeline to connect NLP models with financial datasets. - Local Turkish LLM Chatbot
Deployed Qwen 2.5 7B model on local hardware.
Integrated PDF/document parsing, Python script execution, and database connectivity for dynamic Q&A. - Defect Detection in Manufacturing
Applied CNN-based image recognition to detect defects in automotive parts.
Increased quality assurance accuracy and reduced inspection time. - Object Detection for Retail Analytics
Built a YOLOv8-based model to detect products on shelves from camera feeds.
Provided insights into stock levels and customer behavior. - Early Warning Sales Forecasting System
Designed a time series forecasting pipeline (ARIMA, SARIMA, LightGBM).
Integrated economic indicators (ÖTV, exchange rates, seasonal events). - Fraud Detection Models
Developed ML-based fraud detection system with classification models.
Applied supervised learning to detect anomalies in transaction data. - Market Basket Analysis
Implemented Apriori-based basket analysis for customer purchase behavior.
Generated association rules to optimize cross-selling opportunities. - Deep Learning Classification Models
Built image and text classification models using TensorFlow & PyTorch.
Timeline
AI Engineer – Data Scientist
Metric Software Consulting
10.2023 - 07.2025
Python Developer – Data Scientist
Eastroad.com
06.2023 - 09.2023
Bachelor of Science - Software Engineering
Uskudar University
04.2001 -
Msc - Artificial Intelligence Engineering
Uskudar University