# Narasimha Chari Nanchella

Narasimha Chari Nanchella is a remote worker on Himalayas, AI/ML Engineer at NVIDIA, based in United States.

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

```text
AI/ML Engineer at NVIDIA building GPU-accelerated LLM, speech, and vision services, with inference latency reduced by approximately 3x.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 140k+ USD |
| Job categories | AI ML Engineer |
| Skills | Machine Learning, Deep Learning, Large Language Models, RAG, Computer Vision, Video Analytics, Model Serving, GPU Optimization, Distributed Training, Model Optimization, MLOps, Semantic Search, Python, PyTorch, TensorFlow |

## About

```text
At NVIDIA, I design and deploy GPU-accelerated AI microservices for production LLM, speech, and vision workloads. I optimized PyTorch and Hugging Face Transformer models, reducing inference latency by approximately 3x and GPU memory consumption by 45%.

At Microsoft, I developed computer vision and video analytics pipelines to identify driver behavior across video datasets. I also built distributed training workflows that improved training efficiency by approximately 35%, and optimized inference to achieve sub-100ms latency for real-time prediction services.
```

## Experience

### AI/ML Engineer (current)

[NVIDIA](https://himalayas.app/companies/nvidia). Aug 2025 - Present

```text
Designed and deployed GPU-accelerated AI microservices using Python, FastAPI, Triton Inference Server, TensorRT-LLM, CUDA, and REST/gRPC APIs. Optimized PyTorch and Hugging Face Transformer models using ONNX, TensorRT, FP16, and INT8 quantization, reducing inference latency by approximately 3x and GPU memory consumption by 45%.
```

Skills: Python, fastAPI, Triton-Inference-Server, NVIDIA-TensorRT-LLM, CUDA, REST-APIs, gRPC, PyTorch, Hugging-Face-Transformers, Onnx, TensorRT, FP16, INT8-Quantization, LoRAs, RAG, Lang-Chain, Faiss, Weaviate, Docker, Kubernetes, Terraform, ArgoCD, GitHub-Actions, CI-CD, MLFlow, Prometheus, Grafana, Cloudwatch, Kafka, AWS-IAM, Nvidia-Omniverse, Isaac-Sim, GPU-Profiling, MLPerf, NVIDIA-H100, NVIDIA-H200, Test-Driven-Development, Unit-Testing

### AI/ML Engineer

[Microsoft](https://himalayas.app/companies/microsoft). Apr 2020 - Jun 2024

```text
Developed computer vision and video analytics pipelines using Python, PyTorch, OpenCV, CNN architectures, and transfer learning to identify driver behavior. Built data processing pipelines using Python, Apache Spark, Airflow, Hive, and Presto to ingest and transform over 50,000 hours of video into structured datasets.
```

Skills: Python, PyTorch, OpenCV, CNN, Transfer-Learning, Apache-Spark, Airflow, Hive, Presto, Azure-GPU-Clusters, Docker, Kubernetes, Distributed-Training, Torch-Elastic, Vision-Transformer, Swin-Transformer, Multimodal-Embedding-Models, ONNX-Runtime, TensorRT, Azure-Machine-Learning, Faiss, HNSW, MLFlow, Weights-Biases, DVC, Git, CI-CD, SHAP, LIME, Fairlearn, Bias-Detection, Responsible-AI

## Education

### Concordia University Wisconsin

Master of Science, Computer and Information Sciences

```text
Pursued a Master of Science in Computer and Information Sciences at Concordia University Wisconsin.
```

## Tech stack

- Apache Spark
- Presto
- GitHub
- Kubernetes
- GitHub Actions
- NumPy
- Pandas
- PySpark
- OpenCV
- Redis
- Terraform
- Python
- Azure Machine Learning
- TensorFlow
- PyTorch
- MLflow
- scikit-learn
- FastAPI
- gRPC
- Git
- Docker
- CUDA
- SQL
- SciPy
- LangChain
- Weaviate
- Weights & Biases
- ArgoCD
- ONNX Runtime
- Bash
- Faiss
- PEFT
- Apache Kafka
- AWS
- REST APIs

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

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