Sanskar Agnihotri

Associate Consultant

Gwalior, Madhya Pradesh, India1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in fraud prevention and marketplace integrity.
Skilled in AI/LLM data annotation and model performance enhancement.
Strong analytical background with a B.Sc in Mathematics.

Stackforce AI infers this person is a Fraud Prevention and AI Data Analysis Specialist in eCommerce.

Contact

Skills

Core Skills

Ai/llm AnalysisData AnnotationFraud PreventionMarketplace IntegrityRisk Mitigation

Other Skills

Reinforcement Learning from Human Feedback (RLHF)Supervised Fine-Tuning (SFT)Data AnalysisFraud InvestigationsLink AnalysisTechnical SupportBack-end OperationsSeller RepresentationConcession managementAmazon Logistics (AMZL)Fraud DetectionFraud AnalysisOperations ManagementDigital MarketingMicrosoft Excel

About

As an Investigation Specialist at Amazon, I contribute to maintaining marketplace integrity by analyzing fraudulent and non-compliant activities using data-driven insights. My role involves conducting deep-dive investigations into buyer and seller behavior, while upholding customer trust and safety. I also support the development of fraud prevention strategies through link analysis and collaboration with diverse teams. With a B.Sc in Mathematics from Jiwaji University, I bring analytical skills and a commitment to precision to my role. Currently, as an AI/LLM Data Annotator at Innodata, I specialize in enhancing model performance through RLHF and SFT. My work includes ranking model responses, creating "Gold Standard" datasets, and performing adversarial red-teaming to ensure ethical AI deployment.

Experience

1 yr 2 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Innodata inc.

AI/LLM Data Annotator

Nov 2025 – Present · 6 mos · India · Remote

Specialize in enhancing model performance through Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT).
Rank model responses for accuracy and helpfulness, ensuring high-quality output.
Develop "Gold Standard" training datasets and conduct thorough fact-checking to prevent hallucinations.
Perform adversarial red teaming to identify safety risks and uphold ethical guidelines.

Reinforcement Learning from Human Feedback (RLHF)Supervised Fine-Tuning (SFT)Data AnalysisAI/LLM AnalysisData Annotation

Amazon

3 roles

Investigation specialist

Sep 2025 – Present · 8 mos · India · Remote

Identified and mitigated complex fraud and compliance risks to protect Amazon's global marketplace integrity.
Conducted deep-dive analyses of suspicious buyer and seller behavior, making high-impact decisions.
Leveraged data-driven insights to maintain Amazon’s high standards for customer trust and safety.
Consistently exceeded quality and productivity metrics through a proactive 'Bias for Action' approach.

Fraud InvestigationsData AnalysisLink AnalysisFraud PreventionMarketplace Integrity

CAP associate

May 2024 – Nov 2024 · 6 mos · Remote

Served as a Data-driven Risk & Fraud professional at Amazon, focusing on concession abuse mitigation.
Utilized deep-dive investigative techniques and identity-link analysis to dismantle sophisticated bad actor networks.
Collaborated with Logistics and Fulfillment teams to bridge physical supply chain data with digital fraud signals.
Aimed to reduce unrecovered losses while upholding Amazon’s commitment to Customer Obsession.

Technical SupportBack-end OperationsData AnalysisFraud PreventionRisk Mitigation