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Parag Dharap

@paragdharap

I build evaluation-driven LLM, agentic AI, and backend systems that improve customer workflows.

United States
Message

What I'm looking for

I'm looking to build production AI systems where LLM evaluation, autonomous improvement, and customer workflows lead to measurable business impact.

At Wizeline, I design LLM-powered proofs of concept, RAG pipelines, and automated evaluation loops for customer data and marketing workflows. My Pinecone-backed RAG work improved answer relevance by 30% in internal benchmarking.

Previously at Sardine, I architected agentic AI systems combining LLM reasoning and deterministic rules, reducing manual fraud-review workload by 25% in pilot deployments. I also built document-understanding pipelines that improved unstructured-data extraction accuracy by 35%.

My background includes probabilistic clinical-risk models at Arine and scalable cloud backend services at Microsoft. I ground AI experimentation in measurable customer outcomes, production evaluation, and reliable Python-based services.

Experience

Work history, roles, and key accomplishments

Wizeline logoWI
Current

Senior Software Engineer (Applied AI)

Sep 2023 - Present (3 years)

Designed and developed LLM-powered proof-of-concept systems using LangChain and prompt engineering, validating generative AI applications for customer data and marketing workflows. Built RAG pipelines with Pinecone, improving answer relevance by 30%, and implemented automated LLM evaluation pipelines with LLM-as-a-judge.

Education

Degrees, certifications, and relevant coursework

The University of Texas at Dallas logoTD

The University of Texas at Dallas

Bachelor of Science, Computer Science

2008 - 2012

Bachelor's Degree in Computer Science from The University of Texas at Dallas, completed in 2012.

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