# Dileep kumar Gaddam

Dileep kumar Gaddam is a remote worker on Himalayas, AI/ML Engineer at Microsoft, based in United States.

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

```text
AI/ML Engineer at Microsoft building agent memory and retrieval workflows that improved relevant-memory retrieval by 18%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 80k+ USD |
| Job categories | AI ML Engineer, Machine Learning Engineer, Data Scientist |
| Skills | Machine Learning, Recommendation Systems, Agentic AI, Agent orchestration, Agent Memory, Semantic Memory, Embedding Based Retrieval, Feature Engineering, Model Evaluation, Inference Optimization, LLM Evaluation, RAG, Natural Language Processing, Collaborative Filtering, Model Training |

## About

```text
At Microsoft, I develop agent workflows that turn execution traces into structured memories and reusable skills. This work improved relevant-memory retrieval by 18% in benchmarked repeat-task evaluations.

I’ve also optimized semantic retrieval and LLM inference, reducing median retrieval latency by 20% and inference costs by 12%. I integrated Microsoft Agent Framework with Azure AI Foundry models for multi-step workflows involving task decomposition, memory retrieval, tool invocation, and outcome verification.

At NVIDIA, I contributed to a personalized recommendation platform for retail applications. I prepared interaction and product data, created behavioral features, and assisted with hybrid recommendation models and embedding-based candidate retrieval.

I supported GPU inference optimization using CUDA, TensorRT, and Triton Inference Server, contributing to approximately 30% lower prediction latency. In personal projects, I’ve developed agent-based code review workflows and a risk and demand forecasting system.
```

## Experience

### AI/ML Engineer (current)

[Microsoft](https://himalayas.app/companies/microsoft). Jan 2025 - Present

```text
Developed Python pipelines to transform agent execution traces into structured memories and reusable skills, improving relevant-memory retrieval by 18%. Optimized semantic retrieval pipelines and LLM inference costs, and integrated Microsoft Agent Framework with Azure AI Foundry models.
```

Skills: Python, PyTorch, TensorFlow, fastAPI, PySpark, Azure, Docker, Kubernetes, LLM, Embeddings, Semantic-Retrieval, Agentic-AI, Microsoft-Bot-Framework, Azure-AI-Foundry, Azure-Container-Apps, Azure-Service-Bus, Azure-Blob-Storage, Pytest, GitHub-Actions

### AI/ML Engineer

[NVIDIA](https://himalayas.app/companies/nvidia). Jun 2021 - Jul 2024

```text
Contributed to a personalized recommendation platform, preparing datasets, creating behavioral features, and developing hybrid recommendation models. Implemented embedding-based candidate retrieval and supported GPU inference optimization, contributing to approximately 30% lower prediction latency.
```

Skills: Python, SQL, Pandas, NumPy, PySpark, PyTorch, TensorFlow, XGBoost, Collaborative-Filtering, Recommendation-Systems, Embedding-Based-Retrieval, CUDA, TensorRT, Triton-Inference-Server, fastAPI, Docker, Kubernetes, Apache-Spark, Airflow, Kafka, Precision@K, Recall@K, NDCG@K, Maps

## Education

### University of Central Missouri

Master of Science, Computer and Information Systems Security

```text
Pursuing a Master of Science in Computer and Information Systems Security at the University of Central Missouri.
```

## Tech stack

- Apache Spark
- Kubernetes
- Jenkins
- GitHub Actions
- NumPy
- Pandas
- PySpark
- PostgreSQL
- MongoDB
- Oracle
- Redis
- React
- JavaScript
- Python
- Java
- TensorFlow
- PyTorch
- MLflow
- scikit-learn
- Kafka
- Azure Service Bus
- Flask
- FastAPI
- TypeScript
- pytest
- Docker
- SQL
- Azure Cosmos DB
- Azure Blob Storage
- XGBoost
- SciPy
- Azure Container Apps
- Ruff
- Faiss
- LangGraph
- Azure AI Foundry
- Power BI
- REST APIs

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

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