
Shulabh User
@shulabhuser
I build LLM-powered RAG applications, AI assistants, and scalable enterprise automation workflows.
What I'm looking for
I'm building LLM-powered applications, retrieval systems, and AI automation workflows at Scale AI for enterprise customers.
I implement RAG pipelines with Pinecone, FAISS, vector databases, and embedding models to improve contextual responses, semantic search, and document intelligence. I also develop AI agents, copilots, chatbots, and conversational assistants for support, analytics, and internal productivity.
Previously, as an AI Engineering Intern with DePauw University's Neuroscience Department, I built semantic search and embedding pipelines for enterprise knowledge retrieval. I integrated LLM APIs, prompt templates, REST APIs, and document indexing workflows into SaaS and enterprise tools.
I work across Python, FastAPI, Docker, cloud deployments, and evaluation pipelines to deliver reliable, scalable AI features while reducing hallucinations and improving response latency.
Experience
Work history, roles, and key accomplishments
Implemented RAG pipelines with vector databases and engineered prompt frameworks to improve LLM accuracy. Built AI assistants and scalable LLM applications for enterprise automation and SaaS products.
Education
Degrees, certifications, and relevant coursework
DePauw University
Bachelor of Arts, Computer Science
Pursued a Bachelor of Arts in Computer Science at DePauw University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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