Headline

AI Operations Analyst | Prompt Engineering | LLM Operations & Large-Scale Labeling | Delivering Reliable Enterprise AI Systems

About

I work in AI Operations — bridging model behavior, data quality, and enterprise delivery to make AI systems reliable at scale. Currently supporting NVIDIA projects through LLM operations, prompt evaluation, and large-scale data labeling workflows at Zensar Technologies.

Location

Ghaziabad

Work experience

LLM Training and Evaluation Analyst | CoT Structured Annotation & Model Quality at Zensar Technologies, Dec 2025 - Present · 7 mos, Pune, Maharashtra, India, Client: NVIDIA | December 2025 – Present Perform structured data annotation and labeling for LLM and multimodal systems using dynamic, evolving standards to support model training and evaluation. Write and refine Chain-of-Thought (CoT) reasoning traces to guide model behavior and improve reasoning quality and consistency. Evaluate and score model outputs against detailed quality, safety, and correctness criteria. Apply and interpret complex annotation guidelines to maintain high inter-annotator consistency and quality benchmarks. Identify model failure patterns, reasoning gaps, and hallucinations and provide structured feedback for model improvement. Collaborate with quality teams and project leads to meet enterprise delivery, quality, and compliance requirements.

Education

CHANDIGARH UNIVERSITY

High School Diploma, Mayo International School - India