# DuncanB Brandt

DuncanB Brandt is a remote worker on Himalayas, Senior AI Engineer at Curai Health, based in United States.

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

```text
Senior AI Engineer building ML and generative AI systems with RAG, CV, forecasting.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | United States |
| Authorized to work in | United States |
| Job categories | Senior AI Engineer, AI Developer, MLOps Engineer, Computer Vision Engineer, Data Scientist, Senior AI Engineering, Senior AI Software Engineer, Senior AI ML Engineer, Senior AI Analytics Engineer, Sr. Staff AI Engineer, Senior ML Engineering, Senior ML Engineer |
| Skills | Machine Learning, Deep Learning, LLM, RAG, Graph RAG, Computer Vision, NLP, Multimodal Learning, Time Series Analysis, Anomaly Detection, MLOps, ETL, Airflow, Containerization, Docker, Kubernetes, AWS, API Development, Message Queues, Feature Engineering, AI Model Deployment, Python, TypeScript, React, SQL, Git, FFMPEG, Linux Style Environments, Prompt Injection Security, Linux, Modal, Lang Chain |

## What I'm looking for

```text
I’m looking for a role where I can lead generative AI R&D (LLMs/RAG) and ship secure, production-ready systems. I want cross-functional collaboration, strong MLOps ownership, and measurable impact through scalable data and model evaluation.
```

## About

```text
I’m a Senior AI Engineer with 10+ years building production machine learning and deep learning systems across healthcare, media, and eCommerce. I specialize in LLM/RAG applications, computer vision, NLP, multimodal learning, and time series forecasting, and I led R&D exploring GraphRAG resulting in two patents.

At Curai Health, I led R&D for Clone M&A and improved core matching functionality using GraphRAG and emerging LLM technologies. I built a generative AI recruiting product with an RAG-based MVP that auto-generates job postings, added keyword/style customization, and implemented multiple security measures against prompt injection. I also developed LangChain bots and chat-based document interaction, deploying containerized, API-exposed services for rapid iteration.

Previously, at Smart Data and HCLTech, I developed ML/DL pipelines for metadata extraction and multimodal tagging, built predictive and real-time vision systems, and engineered data infrastructure supporting 100M+ users and 10x growth. I prepared FDA submissions, authored scientific manuscripts, presented to executives/investors, and improved production performance—such as boosting AWS inference by 60%. I bring strong MLOps discipline (ETL, Airflow, Docker/Kubernetes) and hands-on leadership, including mentoring teams of 6+.
```

## Experience

### Senior AI Engineer

Curai Health. Mar 2022 - Apr 2026

```text
Led GraphRAG research and built generative AI products, including an HR-tech RAG MVP that auto-generates job postings with keyword/style customization and prompt-injection security measures. Developed and deployed LangChain chatbot services via APIs, consulted on chat-based document interaction features, and built evaluation/production-readiness workflows for AI-generated code and app behaviors.
```

Skills: Graph-RAG, RAG, LLM-Security, API-Development, Docker, Kubernetes, AWS, Prompt-Injection-Mitigation, Model-Evaluation, Lang-Chain

### AI Developer

Smart Data. Sep 2016 - Jan 2022

```text
Developed ML/DL pipelines for metadata extraction from media using computer vision, NLP, and multimodal learning, and built PoCs for automatic media tagging. Built large-scale analytics and recommendations infrastructure supporting 10x user growth, led ETL/model deployment automation with Airflow and messaging queues, and delivered time-series forecasting and rare-event detection for gas demand us
```

Skills: Computer-Vision, NLP, Multimodal-Learning, Entity-Linking, Airflow, ETL, Message-Queues, Time-Series, Anomaly-Detection

### Junior AI Developer

[HCLTech](https://himalayas.app/companies/hcltech). Jun 2015 - Jul 2016

```text
Built GE Healthcare Tube Watch predictive solutions and multi-modal failure prediction algorithms for CT machines, including an NLP classifier to identify failed parts from field support data. Improved AWS-deployed inference performance by 60% through parallelization and algorithmic improvements, developed ECG/PPG anomaly detection and deep learning models for respiration prediction, and prepared
```

Skills: Multimodal-Failure-Prediction, NLP, ECG-PPG-Analysis, Anomaly-Detection, Deep-Learning, AWS, API-Development

## Education

### Regis University

Bachelor of Science, Computer Engineering. 2010 - 2014

```text
Earned a Bachelor of Science in Computer Engineering at Regis University from 2010 to 2014.
```

## Tech stack

- Kubernetes
- Gmail
- FFMPEG
- Linux
- Airflow
- SQL
- LangChain
- Modal
- GraphRAG
- Task
- Jan

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

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