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Adil User

@adiluser6

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AI / LLM Engineer building guarded SQL agents and evaluated RAG applications with Python.

Pakistan

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At Turing, I produced rubric-based preference data for Google’s RLHF post-training pipeline and analyzed failure modes to inform data fixes. At CNTXT AI, I worked on multimodal training-data quality and evaluated medical and legal LLM outputs for hallucinations.

I build retrieval-augmented applications and guarded agentic workflows in Python. My projects include a multilingual SQL agent with schema-aware validation and a BookMind RAG pipeline with an evaluation harness.

Experience

Work history, roles, and key accomplishments

AI Evaluation Engineer

Turing

Mar 2026 - Jun 2026 (3 months)

Produced rubric-based preference data for Google's RLHF post-training pipeline, focusing on math, logic, and domain tasks. Provided error analysis and root cause reporting to improve data quality.

RLHF LLM Evaluation Data Annotation Error Analysis Python

AI Data Quality Engineer

CNTXT AI

Jun 2024 - Jan 2026 (1 year 7 months)

Ensured quality of multimodal training data (text, image, video) for NLP and CV models. Scored LLM outputs for hallucinations in medical and legal domains.

Data Quality QA Multimodal Data LLM Evaluation Python

Education

Degrees, certifications, and relevant coursework

National University of Computer and Emerging Sciences (FAST NUCES)

Bachelor of Science, Computer Science

2020 - 2024

Bachelor of Science in Computer Science from the National University of Computer and Emerging Sciences (FAST NUCES), completed from September 2020 to June 2024.