# Nidhi User

Nidhi User is a remote worker on Himalayas, AI / GenAI Engineer at Cardio AI, based in United States.

Source: https://himalayas.app/@nidhiuser13

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

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 90k+ USD |
| Job categories | Generative AI Engineer, Machine Learning Engineer, AI Research Engineer, Data Engineer |
| Skills | Generative AI, Large Language Models, LLM Fine tuning, QLoRA, LoRAs, Supervised FineTuning, Preference Optimization, RAG, Machine Learning, Deep Learning, Model Evaluation, Model Governance, Embeddings, Vector Databases, Faiss, ChromaDB, AWS, GCP, Azure, Data Pipelines, Data Quality, SQL, DBT, Airflow, PyTorch, Python, Healthcare AI, AI Research, Lang Chain, Model Context Protocol |
| Portfolio | https://github.com/nidhi1603 |
| LinkedIn | https://linkedin.com/in/nidhirajani |
| GitHub | https://github.com/nidhi1603 |

## What I'm looking for

```text
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.
```

## About

```text
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

### AI / GenAI Engineer (current)

Cardio AI. Jan 2026 - Present

```text
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.
```

Skills: 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

```text
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.
```

Skills: Generative-AI, LLM, RAG, ML-and-DL, Research, Teaching

### Solutions Engineer

Flipkart. Feb 2024 - Dec 2024

```text
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.
```

Skills: Data-Analysis, Dashboarding, Stakeholder-Management, Cross-Functional-Collaboration

## Education

### University at Buffalo (SUNY)

Master of Science, Data Science. 2025 - 2026. Grade: 3.9/4.0

Activities and societies: AI/ML Research & Graduate TA

```text
Completed M.S. in Data Science with a GPA of 3.9/4.0, focusing on AI/ML research and serving as a graduate teaching assistant.
```

### NIT Bhopal

Bachelor of Technology, Engineering. 2020 - 2024

```text
Earned a B.Tech in Engineering from NIT Bhopal.
```

## Tech stack

- dbt
- Python
- PyTorch
- Airflow
- SQL
- LangChain
- ChromaDB
- Faiss

To contact Nidhi, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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