Emre Aydolun Pak
About
Detail
İzmir Province, Türkiye
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work
Full-time jobs
Starting at
USD20/hour
Résumé
Jobs
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AI EngineerturingJul 2025 - Current (1 year 4 months)Worked on AI projects involving Large Language Models (LLMs). Performed LLM fine-tuning using instruction-based and curated datasets. Designed and improved Retrieval-Augmented Generation (RAG) pipelines. Integrated external knowledge sources to improve factual accuracy and reduce hallucinations. Evaluated model outputs and iteratively optimized prompts and system behavior. Collaborated with teams to improve overall AI system reliability and performance.- Team LeadGini TalentJul 2024 - Current (2 years 4 months)Worked on SEO projects focused on Yandex search engine optimization. Executed SEO tasks aligned with Yandex ranking algorithms and content guidelines. Reviewed teammates' tasks and provided structured revisions. Ensured task accuracy, consistency, and alignment with project requirements. Contributed to workflow standardization and performance improvement.
- AuditorPensa SystemsJan 2020 - May 2024 (4 years 5 months)Worked on AI projects focused on recognizing products from large retail chains such as Walmart. Performed large-scale data labeling for product classification and recognition systems. Reviewed labeled datasets to ensure accuracy, completeness, and guideline compliance. Identified recurring annotation errors and provided corrective recommendations. Actively guided team members on task execution and quality improvement.
Education
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- Russian Language and LiteratureAnadolu ÜniversitesiJul 2021 - Jan 2026 (4 years 7 months)Eskişehir/Türkiye
Projects (professional or personal)
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- PPenguin ProjectAug 2025 - Jan 2026 (6 months)At Turing, I worked on the Penguin project, which focused on improving large language model performance through fine-tuning and Retrieval-Augmented Generation (RAG) techniques. My responsibilities included preparing high-quality instruction datasets, evaluating model outputs, and iteratively refining responses to improve accuracy and contextual relevance. I contributed to designing RAG pipelines that integrated external knowledge sources, helping reduce hallucinations and increase factual consistency in generated outputs. The project emphasized production-ready AI systems, quality control, and measurable improvements in model reliability.
- YYandex Page Quality ProjectAug 2025 - Current (1 year 3 months)Worked on Yandex Page Quality evaluation tasks focused on assessing webpage relevance, content quality, and search intent alignment. Ensured evaluation accuracy according to quality guidelines. Subsequently took on a leadership role, reviewing team outputs, providing revisions, and collaborating with global teams to maintain consistency and quality across regions.
- YYerel EsnafımJan 2025 - Jan 2026 (1 year 1 month)I developed Yerel Esnafım, a food ordering application designed specifically for small cities and local businesses. The platform enables local restaurants to receive online orders without relying on large marketplaces, reducing commission costs and increasing accessibility for small-scale vendors. The application focuses on simplicity, low operational overhead, and regional scalability, allowing local users to place orders easily while supporting neighborhood businesses. The project demonstrates product thinking, local-market optimization, and end-to-end application development aligned with real-world constraints in smaller cities.
- YYandex Side-by-Side (SBS) Evaluation ProjectJan 2025 - Current (1 year 10 months)In the Yandex Side-by-Side (SBS) evaluation project, I worked extensively on performing A/B testing to compare alternative search results and webpage outputs. My responsibilities included evaluating relevance, page quality, and user intent alignment to identify performance differences between ranking variants. As I progressed into a leadership role, I reviewed evaluations, provided revisions, and collaborated with globally distributed teams to maintain consistency and quality standards. My work required a strong understanding of various domains, including chemistry, physics, and biology, to effectively assess and optimize search results across a wide range of query topics. This cross-domain knowledge enabled me to judge relevance and factua
- PPensa Systems – AI Data Labeling & Auditing Projects (Walmart, Kroger, Nestlé, Coca-Cola, PetSmart)Jan 2021 - Jun 2024 (3 years 6 months)Worked on large-scale AI data labeling and auditing projects for retail product recognition and classification. Contributed to datasets involving Walmart, Kroger, Nestlé snack products, Coca-Cola beverages, and PetSmart retail items, with a focus on SKU differentiation, packaging variations, and category consistency. Promoted to an auditor role, where I reviewed data quality, identified systematic errors, and provided corrective guidance to improve model training accuracy.