# Charles Neely

Charles Neely is a remote worker on Himalayas, Staff AI Engineer at NVIDIA, based in United States.

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

```text
Staff AI Engineer at NVIDIA who built agentic support workflows reaching 87% task success in controlled testing.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 60k+ USD |
| Job categories | AI Engineer, Machine Learning Engineer |
| Skills | Agentic Systems, LLM Applications, RAG, Agent orchestration, Tool calling, Model Evaluation Harnesses, Responsible AI, Machine Learning, Ranking Model, Fraud Risk Models, Model Serving, MLOps, GPU Inference, Hybrid Search, Embeddings |
| LinkedIn | https://linkedin.com/in/charles-neely-ai |

## About

```text
At NVIDIA, I defined and implemented a production AI platform for technical-support workflows, combining retrieval, tool calling, structured outputs, and human escalation. In controlled testing, its agent workflow reached 87% successful multi-step task completion.

I designed a hybrid RAG pipeline that improved Recall@5 from 74% to 89%, and built evaluation harnesses for groundedness, task success, latency, and model cost. I also fine-tuned compact instruction models with LoRA adapters, reducing median inference cost by approximately 31% without materially changing held-out task accuracy.

At Meta, I owned ranking model initiatives for content-discovery products. My work included PyTorch ranking models and feature pipelines that improved offline NDCG@10 by approximately 8%, as well as serving safeguards supporting 99.95% service availability.

Earlier, I developed fraud-risk models and production scoring services at Capital One, worked on clinical-operations data and NLP at Pfizer, and built backend integrations and SQL analytics at Verizon. Across these roles, I’ve worked on model evaluation, deployment, monitoring, and responsible operation in regulated and high-volume environments.
```

## Experience

### Staff AI Engineer (current)

[NVIDIA](https://himalayas.app/companies/nvidia). Jan 2023 - Present

```text
Defined and implemented a production AI platform for technical-support workflows, combining Python services, Azure OpenAI, retrieval, tool calling, and human escalation. Designed a hybrid RAG pipeline and built a stateful agent workflow, improving task completion to 87% and reducing P95 latency from 2.8s to 1.6s.
```

Skills: Python, Azure-OpenAI, RAG, Azure-AI-Search, LangGraph, fastAPI, PyTorch, LoRAs, GPU-Inference, Model-Evaluation-Harnesses, Observability, CI-CD

### Senior Machine Learning Engineer

[Meta](https://himalayas.app/companies/meta). May 2020 - Dec 2022

```text
Owned end-to-end ranking model initiatives for content-discovery products, from problem definition to deployment and monitoring. Developed PyTorch ranking models and improved offline NDCG@10 by 8%, while maintaining 99.95% service availability.
```

Skills: PyTorch, Ranking-Model, Feature-Engineering, Distributed-Training, Canary-Releases, Monitoring, Experimentation, NDCG@K

### Machine Learning Engineer

[Capital One](https://himalayas.app/companies/capital-one-national-association). Oct 2017 - Apr 2020

```text
Developed fraud-risk classification models using gradient-boosted trees and transactional features, improving recall at a fixed false-positive rate. Built governed feature pipelines and automated model evaluation reports, shortening validation preparation by 40%.
```

Skills: Gradient-Boosting, Python, AWS, Feature-Engineering, Model-Monitoring, Compliance, ROC-AUC

### Machine Learning Engineer

[Pfizer](https://himalayas.app/companies/pfizer). May 2015 - Sep 2017

```text
Prepared clinical-operations datasets with SQL transformations and validation rules for predictive modeling. Prototyped NLP classification and entity-extraction approaches for operational notes, and automated quality checks and reporting workflows.
```

Skills: SQL, NLP, Classification, Entity-Extraction, Data-Validation, Reporting

### Software Engineer

[Verizon](https://himalayas.app/companies/verizon-wireless). May 2014 - Apr 2015

```text
Developed backend integrations and SQL-based analytics for network-capacity reporting, converting operational data into repeatable metrics. Added validation checks, diagnostic logging, and automated report generation to improve data visibility.
```

Skills: SQL, Backend-Development, Data-Analysis, Validation, Reporting

## Education

### University of Texas at Austin

Master's Degree, Computer Science

```text
Master's Degree in Computer Science from the University of Texas at Austin, completed in May 2014.
```

### University of Houston

Bachelor's Degree, Computer Engineering

```text
Bachelor's Degree in Computer Engineering from the University of Houston, completed in May 2012.
```

## Tech stack

- Microsoft Azure
- Kubernetes
- Python
- PyTorch
- scikit-learn
- FastAPI
- Docker
- SQL
- LangGraph
- AWS
- REST APIs

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

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