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Nidhi User

@nidhiuser13

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I build healthcare GenAI systems through LLM fine-tuning, RAG, evaluation frameworks, and reliable data pipelines.

United States

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What I'm looking for

I'm looking to build and evaluate reliable generative AI and healthcare AI systems, with hands-on work across LLM fine-tuning, RAG, vector databases, ML data pipelines, and applied research.

At Cardio AI, I build healthcare generative AI systems, including a fine-tuned Qwen3.5-9B model that passed a deployment quality gate at 90/100.

I've built end-to-end data, training, evaluation, RAG, and vector-store pipelines, including a 5,000-example golden set, quality controls across 35 domains, and a 1,000-image vision-language dataset.

I also bring applied GenAI research, cloud data pipeline, and enterprise analytics experience from the University at Buffalo and Flipkart, where I helped recover a key metric from 35% to 68% in six days while protecting approximately $8M.

Experience

Work history, roles, and key accomplishments

Current

AI / GenAI Engineer

Current

Cardio AI

Jan 2026 - Present (8 months)

Develops generative AI models and systems for healthcare, including fine-tuning a 9B LLM that passed deployment quality gates. Built ML/data pipelines, evaluation frameworks, and RAG components for reliable healthcare AI solutions.

Generative AI LLM Fine tuning QLoRA RAG Vector Databases ML and DL Data Pipelines Model Evaluation Healthcare AI

AI/ML Research & Graduate TA

University at Buffalo (SUNY)

Aug 2025 - May 2026 (9 months)

Developed and evaluated generative AI, LLM/RAG, and ML/DL models, producing applied-research artifacts and documentation. Taught 60+ students and maintained a deep understanding of GenAI technology trends.

Generative AI LLM RAG ML and DL Research Teaching

Solutions Engineer

Flipkart

Feb 2024 - Dec 2024 (10 months)

Delivered data and analytics solutions for enterprise clients at 100M+ scale, coordinating cross-functional tasks. Recovered a metric from 35% to 68% in 6 days, protecting ~$8M, and built dashboards for sellers and internal teams.

Data Analysis Dashboarding Stakeholder Management Cross Functional Collaboration