NIPUN
AGGARWAL

Trust & Safety / LLM Training / Content Moderation / Community Management

6+ years keeping platforms and AI systems safe - from content moderation at scale to LLM training across Trust & Safety, Community Management, and AI Governance. Based in New Delhi, open to relocation globally.

6+
Years Exp
04
Domains
100k+
Cases Reviewed

FOUR DOMAINS

Four core domains shaped by real platform work. Click any one to explore methodology, case patterns, and operating judgment.

01 - FEATURED
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02
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TRUST & SAFETYโ†—

Policy enforcement, escalation management, and platform integrity across Meta, Twitter, and gaming ecosystems.

Policy EnforcementRisk AssessmentEscalationAbuse Prevention
03
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CONTENT MODERATIONโ†—

High-volume, high-stakes content review across hate speech, violence, CSAM, and policy violations at scale.

Hate SpeechNSFW ReviewSpam DetectionCultural Context
04
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COMMUNITY MANAGEMENTโ†—

Sentiment analysis, crisis detection, and abuse pattern reporting for brand communities and platform health.

Sentiment AnalysisCrisis ManagementTrend Reporting
Project Case Studies
BUILT WORK, SEPARATE FROM DOMAINS

The domain pages explain the areas I work in. The projects page goes deeper into shipped tools like ModEval and RedLib, with architecture, capabilities, design decisions, and use cases.

View Projects โ†’
Nipun Aggarwal
Available
NIPUN AGGARWAL
Trust & Safety ยท LLM Training ยท Content Moderation ยท Community Management

Started reviewing content at scale in 2019. Six years later, I adversarially test large language models - finding the gaps before bad actors do. I bring a rare combination: the instincts of someone who has reviewed thousands of real harmful cases, and the technical curiosity to understand how AI systems fail.

My background in psychology and history gives me an unusual lens - I think about why systems fail, not just how. I'm building toward AI Governance and Responsible AI.

6+
Yrs Experience
5
Companies
4
Domains
Strengths
Critical Thinking
Assessing intent, context, and severity - not just surface content - before making a call.
Lateral Thinking
Finding edge cases others miss - whether probing model guardrails, evaluating output quality, or spotting patterns in annotation data.
Adaptability
From human content review to LLM training - the same core instincts applied across entirely new domains.
Team Player
Safety work is collaborative - escalations, policy decisions, and reporting all depend on clear cross-functional communication.
Intellectual Curiosity
Two degrees, three certifications, and a career that's deliberately evolved - always looking for the next layer of understanding.
Learn more about me โ†’

GET IN TOUCH

Open to remote roles in Trust & Safety, LLM Training, and AI Governance. If you're building safer AI, I'd like to help.