Open to opportunities

Yui Las

@yuilas

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AI Engineer building production LLM systems for Text-to-SQL, RAG, and backend analytics.

India

Message

What I'm looking for

I’m looking for a role where I can build production LLM systems—Text-to-SQL, RAG, and backend pipelines—with strong validation and safety, and collaborate to debug, optimize, and ship reliable AI features.

I engineer production LLM-powered systems that turn natural language into accurate, executable answers—especially through Text-to-SQL. At Axtria, I improved successful query execution from 10% to 50% using prompt engineering and a validation pipeline, while debugging multi-layer AI pipelines across backend services.

I also reduce hallucinations by designing schema-aware join constraints, role-based system prompts, and rule-based SQL output validation. Beyond query generation, I’ve refined FastAPI backend workflows and production NLU workflows across 100+ pharma domain entities, and I build end-to-end AI analytics agents with RAG, guardrails, and SQL safety controls.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer (LLM Systems)

Current

Axtria Pvt. Ltd.

Sep 2025 - Present (8 months)

Engineered a production LLM-powered Text-to-SQL system in Python with LangChain, improving successful query execution from 10% to 50% via prompt engineering and a validation pipeline. Debugged multi-layer AI pipelines across backend services and reduced hallucinated/invalid SQL using schema-aware constraints and rule-based output validation, while refining NLU workflows across 100+ pharma domain e

Python LLMs (LangChain Text To SQL Prompt Engineering fastAPI SQL RAG NLU Entity Mapping