Ilya Andriunkin - Clinical AI Safety Specialist and Dentist

🚀 FRATCH GPT 2.0 - Find freelancers with a single prompt. Now including price benchmarking.

Recommended expert

Available

Ukraine

Check rate

Experience

Jan 2024 - Dec 2026

3 years

General Dentist

Private Practice

Provided general dentistry with responsibilities spanning diagnosis, restorative care, endodontics, and oral surgery within a private-practice setting.
Performed comprehensive examinations, evidence-based treatment planning, clinical documentation, and interpretation of CBCT and 2D radiographic studies, including complex dental and maxillofacial findings.
Applied clinical reasoning and risk-based decision-making across routine and complex dental cases, including referral and escalation when specialist care was indicated.

Oral & Maxillofacial Surgery Assistant

Clinical Hospital

Joined an oral and maxillofacial surgery department during dental school and accumulated approximately four years of hospital-based clinical exposure under specialist supervision.
Assisted in trauma, reconstructive, and other operative cases, including periods of high-acuity wartime clinical workload involving complex and critically ill patients.
Supported patient preparation, surgical workflow, perioperative safety, intraoperative assistance, postoperative care, and selected supervised clinical tasks.
Worked in demanding multidisciplinary environments requiring close adherence to surgical protocols, rapid prioritization, and clear communication across the care team.

LLM Response Evaluation & Comparative Ranking

General AI Evaluation Projects

Compared multiple AI-generated responses to the same expert-level prompt and ranked them using structured quality criteria.
Assigned individual quality scores and produced concise ranking rationales covering factual accuracy, logical coherence, instruction following, user-intent alignment, usefulness, specificity, naturalness, and organization.
Identified hallucinations, logical inconsistencies, redundancy, off-topic content, weak formatting, and lack of user specificity while applying project-specific rubrics and discard rules.

AI Evaluation Specialist & Quality Reviewer

Global AI Evaluation Projects

Evaluated large volumes of AI-generated content across ASR, machine translation, LLM, and other AI evaluation tasks, applying detailed project-specific guidelines and quality standards.
Reviewed 10,000+ machine-generated ASR transcriptions, identifying semantic, grammatical, formatting, pronunciation, and meaning-related errors.
Evaluated machine-generated translations across English, Ukrainian, and Russian, including English → Ukrainian, Ukrainian → English, Russian → English, and other multilingual language pairs.
Performed complete source-target comparisons to identify mistranslations, omissions, additions, repetitions, terminology inconsistencies, fluency problems, stylistic issues, and locale-specific errors.
Assigned Acceptability Scores on a 0–100 scale, assessing whether translations accurately conveyed source meaning and met linguistic quality requirements.
Applied structured translation error taxonomies, including Accuracy, Fluency, Terminology, Omission, Addition, Repetition, Style, and Locale-related issues.
Validated other evaluators' Score Justifications, determining whether comments accurately reflected the source–translation relationship and whether assigned scores were reasonable.
Reviewed individual evaluation findings for factual validity, category accuracy, and severity, including Critical, Major, Minor, and informational classifications.
Identified incorrectly classified, overstated, understated, or overlooked translation errors and provided evidence-based rationales with corrected scores or classifications when required.
Distinguished objective linguistic errors from acceptable alternative translations and subjective stylistic preferences, avoiding unjustified penalties.
Performed secondary quality audits to improve annotation consistency and evaluator agreement across multilingual projects.
Conducted large-scale audio segmentation for voice-assistant interactions, identifying trigger phrases, interaction boundaries, overlapping speech, background audio, and edge-case scenarios.
Applied semantic consistency scoring, evaluating keyword preservation, meaning retention, natural language quality, and overall comprehensibility.
Categorized transcription errors involving Proper Nouns, Hot Words, Function Words, Affixes, punctuation, formatting, pronunciation, and semantic consistency.
Followed project-specific SOPs, evaluation rubrics, quality standards, and delivery requirements.
Contributed to quality improvement through reviewer feedback, consistency checks, and secondary quality assurance.

Clinical Safety & Adversarial Medical AI Evaluation

Healthcare AI Safety Tasks

Stress-tested medical AI outputs for unsafe treatment guidance, missed contraindications, failed emergency escalation, and other safety-critical clinical errors.
Assessed robustness under adversarial or context-manipulated prompts designed to surface misleading, overconfident, or insufficiently risk-aware behavior.
Classified safety failures by type, severity, and potential clinical impact, including hallucination, reasoning failure, missed red flags, unsupported treatment advice, and inappropriate reassurance.
Reviewed whether safety-sensitive responses preserved uncertainty, stated limitations, and avoided presenting speculative conclusions as established clinical facts.

Medical AI Subject Matter Expert / Healthcare LLM Evaluator

Healthcare LLM Evaluation & AI Validation Projects

Evaluated 5,000+ AI-generated medical responses across clinical reasoning and healthcare AI evaluation tasks.
Assessed AI-generated differential diagnoses, treatment recommendations, clinical explanations, and medical reasoning for factual accuracy, completeness, and clinical safety.
Identified hallucinations, unsupported claims, incomplete reasoning, unsafe medical recommendations, and inconsistencies with evidence-based medical practice.
Evaluated whether AI responses correctly interpreted clinical information and reached medically defensible conclusions.
Verified clinical information using PubMed, ADA, NICE, and internationally recognized medical references.
Applied structured evaluation rubrics covering helpfulness, factual correctness, reasoning quality, completeness, clinical appropriateness, and evidence alignment.
Performed evidence-based fact-checking of AI-generated medical claims and identified unsupported or misleading statements.
Assessed differential diagnosis reasoning and whether proposed diagnoses were appropriately supported by the clinical information provided.
Evaluated medical AI responses for potential safety issues and clinically inappropriate recommendations.
Assessed whether models recognized uncertainty, insufficient data, urgent symptoms, escalation needs, and indications for specialist referral.
Contributed subject-matter expertise as a Doctor of Dental Medicine to healthcare-focused AI evaluation and validation workflows.

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Healthcare.

Healthcare

Summary

Doctor of Dental Medicine and Medical AI Evaluation Specialist with a clinical background spanning oral and maxillofacial surgery, general dentistry, diagnostic imaging, and healthcare AI evaluation. Approximately four years of hospital-based exposure to oral and maxillofacial surgery, including trauma, reconstructive cases, perioperative care, and critically ill patients, followed by surgical-focused postgraduate clinical training and private dental practice. Experienced in evaluating AI-generated clinical content for factual accuracy, hallucinations, clinical reasoning, patient-safety risks, guideline alignment, escalation logic, and treatment appropriateness. Additional experience includes multilingual QA, machine-translation validation, ASR evaluation, comparative LLM ranking, and secondary reviewer workflows across English, Ukrainian, and Russian.

Skills

Ai Evaluation & Quality Assurance

Ai Output Evaluation
Ai Quality Assurance
Secondary Quality Review
Annotation Auditing
Evaluator Performance & Consistency Review
Evaluation Rubric Application
Rubric-Based Quality Assessment
Error Taxonomy & Classification
Severity Assessment
Guideline & Sop Compliance
Edge-Case Analysis
Quality Control
Human-In-The-Loop Ai Evaluation
Clinical Ai Safety & Adversarial Evaluation
Safety-Critical Failure Analysis
Escalation & Red-Flag Assessment

Machine Translation Evaluation

Multilingual Machine Translation Evaluation
Translation Quality Assessment
Acceptability Scoring (0-100)
Source-Target Semantic Comparison
Translation Error Detection
Translation Evaluation Validation
Evaluation Justification Validation
Finding & Error Severity Validation
Accuracy / Fluency / Terminology Assessment
Omission & Addition Detection
Repetition Detection
Style & Locale Evaluation
Multilingual Linguistic Qa

Asr & Linguistic Evaluation

Asr Evaluation
Transcription Auditing
Audio Segmentation
Semantic Consistency Analysis
Homophone & Pronunciation Error Detection
Proper Noun Evaluation
Hot Word Evaluation
Function Word Evaluation
Affix Error Identification
Trigger Phrase Detection
Speech Boundary Identification
Overlapping Speech Analysis
Background Audio Identification
Multilingual Annotation

Llm & Medical Ai

Llm Response Evaluation
Prompt Evaluation
Instruction-Following Assessment
Rlhf Evaluation
Medical Ai Validation
Clinical Reasoning Evaluation
Hallucination Detection
Medical Response Evaluation
Differential Diagnosis Assessment
Treatment Recommendation Evaluation
Evidence-Based Fact-Checking
Pubmed Verification
Ada & Nice Guideline Validation
Comparative Llm Ranking & Preference Evaluation
Clinical Safety Evaluation
Unsupported Claim Detection
Patient-Safety Risk Assessment

Technical & Clinical

Dicom
Pacs
Cbct Interpretation
2d Radiographic Analysis
Enterprise Annotation Platforms
Microsoft Office
Google Workspace

Additional Expertise

Multilingual Ai Data Evaluation
Linguistic Quality Assurance
Machine Translation Quality
Speech Recognition Evaluation
Llm Evaluation
Medical Ai & Healthcare Ai
Human Evaluation Of Ai-Generated Content
Large-Scale Annotation Workflows
Quality Control & Secondary Review
Evidence-Based Evaluation
Clinical & Linguistic Error Analysis

Languages

Russian

Native

Ukrainian

Native

English

Advanced

Education

Oct 2019 - Jun 2024

Ivano-Frankivsk National Medical University

Doctor of Dental Medicine (DMD) · Dental Medicine · Ivano-Frankivsk, Ukraine

Statistics

Experience

Total positions 6

Experience in Healthcare 2.5 y

Avg length 5 m

Longest experience 2 y 8 m

Expertise

Recent roles General Dentist

Main industries Healthcare

Qualifications

Highest degree Doctorate

Profile

Member since

September 2026

Last update

September 2026

Need a freelancer? Find your match in seconds.

Try FRATCH GPT

Frequently asked questions

Have questions? Find more information here.

Ilya speaks the following languages: Russian (Native), Ukrainian (Native), English (Advanced).

Ilya has at least 3 years of experience. During this time, Ilya has worked in at least 1 role and for 1 company. The average length of individual experience is 3 years and 8 months. Note that Ilya may not have shared all experience and actually has more experience.

Based on recent experience, Ilya would be well-suited for roles such as: General Dentist, Oral & Maxillofacial Surgery Assistant, LLM Response Evaluation & Comparative Ranking.

Ilya's most recent position is General Dentist at Private Practice.

In recent years, Ilya has worked for Private Practice.

Ilya is most experienced in industries like Healthcare.

Ilya holds a Doctorate in Dental Medicine from Ivano-Frankivsk National Medical University.

Ilya is immediately available for suitable projects.