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Chirag NadheriaCN
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Chirag Nadheria

@chiragnadheria

AI engineer who built MyHealthApp’s RAG pipeline, serving 200+ users at sub-800ms p95 latency.

India
Message

At Sunstone, I engineered a Python ETL pipeline that cut data-processing latency by 94%, replacing manual CRM sync with an automated, self-serve data flow. I also maintained 99.9% data integrity across enrollment funnels with automation and feedback-loop validation.

At Sunstone, I deployed an LLM-powered automation layer for ticket triage, reducing manual triage time by 45% through intent detection and automated routing.

I built MyHealthApp, an AI-powered healthcare assistant with a RAG pipeline serving 200+ users at sub-800ms p95 latency. I added an evaluation harness and hallucination guardrails, cutting unconstrained generation paths by 45%.

On MeaningIt, an on-device AI translation engine, I built OCR and speech-to-text inference for 500+ users, cutting response time by 60%. I also implemented caching and deduplication, reducing redundant inference calls by 30%.

Experience

Work history, roles, and key accomplishments

SU

Data & AI Automation Intern

Sunstone

May 2024 - Aug 2024 (3 months)

Engineered a custom ETL pipeline that cut data-processing latency by 94% and maintained 99.9% data integrity across enrollment funnels. Reduced manual ticket triage time by 45% with an LLM-powered automation layer.

Education

Degrees, certifications, and relevant coursework

Vivekananda Global University logoVU

Vivekananda Global University

B.Tech, Computer Science

2022 -

Grade: 8.2/10.0

Activities and societies: Top 5% nationally (20/400+ teams) at Smart India Hackathon; Coursework: Machine Learning, AI, NLP, Distributed Systems, Software Engineering.

Pursuing B.Tech in Computer Science with a CGPA of 8.2/10.0. Ranked top 5% nationally in Smart India Hackathon and completed coursework in Machine Learning, AI, NLP, Distributed Systems, and Software Engineering.

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