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Adem Akin K.

Adem Akin K.

AI computer vision validation and dataset quality auditing (ultrasonography imagery)

Turkey flagMugla, Turkey

Key Skills

Software

No software listed

Top Subject Matter

Veterinary radiology
Ultrasonography Domain Expertise
and veterinary obstetrics & gynecology (agriculture/veterinary medicine)

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI computer vision validation and dataset quality auditing (ultrasonography imagery). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master of Science, Burdur Mehmet Akif Ersoy University (2025) and Doctor of Veterinary Medicine, Burdur Mehmet Akif Ersoy University (2013). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Expert prompt engineering and SFT-aligned prompt/response refinement

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Developed domain-specific veterinary prompts and edge-case scenarios to refine system behavior for agriculture and veterinary applications. Authored or contributed to high-quality prompt formulations focused on obstetrics, gynecology, and diagnostic fact-checking. Supported structured expert prompt engineering aimed at improving LLM instruction following and answer quality. • Built veterinary prompt templates and edge cases • Refined question formats for diagnostics and herd scenarios • Supported SFT-style improvements via expert-crafted examples • Helped enforce domain constraints to reduce incorrect outputs

2013 - Present

LLM expert feedback for RLHF and hallucination audits (agriculture & veterinary)

TextTextRLHFRLHF

Contributed to RLHF-style expert feedback loops for agriculture and veterinary medicine language models. Reviewed and rated AI-generated responses for factual correctness related to veterinary diagnostics and livestock health dynamics. Participated in human feedback and expert evaluation processes to improve reliability and reduce hallucinations. • Provided factual correctness feedback for veterinary diagnostics • Supported RLHF workflows for climate and herd-related topics • Assisted in hallucination audits of AI responses • Helped improve expert-aligned LLM evaluation prompts

2013 - Present

AI computer vision validation and dataset quality auditing (ultrasonography imagery)

ImageImage

Provided expert computer vision validation support for ultrasonography and clinical imaging outputs used in veterinary AI workflows. Audited annotation quality and reviewed diagnostic correctness for reproductive and veterinary imaging tasks. Applied domain expertise to ensure AI outputs aligned with veterinary obstetrics, gynecology, and ruminant reproduction evidence. • Validated ultrasonography-related image dataset outputs • Checked diagnostic plausibility for AI-generated findings • Supported quality assurance of image-driven veterinary claims • Assisted in refining labeling/validation criteria using clinical knowledge

2013 - Present

Education

B

Burdur Mehmet Akif Ersoy University

Master of Science, Veterinary Obstetrics and Gynecology

Master of Science
2023 - 2025
B

Burdur Mehmet Akif Ersoy University

Doctor of Veterinary Medicine, Veterinary Medicine

Doctor of Veterinary Medicine
2008 - 2013

Work History

A

Akpinar Livestock A.S.

Chief Executive Officer (CEO) and Managing Veterinarian

Mugla
2020 - Present
B

Bereket Livestock

General Manager and Managing Veterinarian

Denizli
2019 - 2020