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Dinesh RegarDR
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Dinesh Regar

@dineshregar

I evaluate AI outputs, fact-check claims, and build evidence-grounded SaaS products.

India
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What I'm looking for

I'm looking for work evaluating AI outputs, researching evidence-backed claims, improving model reliability, and producing clear, reproducible reasoning in a rigorous, source-aware environment.

At Qinsio and The Cloud Rain, I review AI-generated research, reports, and technical content against source evidence, flagging fabricated statistics, unsupported assertions, hallucinations, and inaccurate claims. I built a two-model review workflow using Claude and Groq, and rebuilt content pipelines around GitHub-API-grounded, source-cited data.

I've compared GPT, Claude, and Gemini across 100+ products, documenting accuracy, reasoning, and instruction-following. My independent research in religion, philosophy, and cultural history strengthens my ability to separate interpretation from verifiable claims and communicate nuanced conclusions clearly.

Experience

Work history, roles, and key accomplishments

QI
Current

Founder & Full-Stack Developer

Qinsio

Jan 2026 - Present (7 months)

Reviewed AI-generated research and report content against source evidence, grading claims by evidence strength and flagging fabricated statistics, unsupported assertions, and invented competitive claims. Designed a two-model review workflow using Claude for primary analysis and Groq for independent critique, requiring claims to be cross-checked before acceptance.

Education

Degrees, certifications, and relevant coursework

iiit jabalpur logoIJ

iiit jabalpur

Bachelor of Technology , Electronics and communication engineering

2024 -

Grade: 8.3

Activities and societies: Independent AI research, software and SaaS projects, technical research, LLM experimentation, and structured evaluation of AI-generated content.

Currently pursuing a B.Tech in Electronics & Communication Engineering at IIITDM Jabalpur. Alongside academics, I work on software and SaaS projects and conduct independent research involving AI systems, LLM evaluation, fact-checking, and structured analysis of complex information.

Tech stack

Software and tools used professionally

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