# Nada Shaaban

Nada Shaaban is a remote worker on Himalayas, AI & Business Intelligence Engineer at Drop Me, based in Egypt.

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

```text
AI / Machine Learning Engineer at Drop Me who built a bilingual customer assistant and deployed a vision pipeline on a reverse vending machine.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Egypt |
| Authorized to work in | Egypt |
| Salary expectations | 60k+ USD |
| Job categories | AI Machine Learning Engineer, Machine Learning Engineer |
| Skills | Computer Vision, Object Detection, Object Tracking, Image Segmentation, Image Classification, Model Evaluation, LLM, RAG, Prompt Engineering, Tool calling, AI Agents, LLM Evaluation, GuardRails, Workflow Automation, API Integration |

## About

```text
At Drop Me, I built an Arabic and English customer assistant for app navigation, recycling guidance, and rewards questions, with safety guardrails and an evaluation workflow of 885 automated test cases.

I also deployed a YOLOv8 and DINOv2 pipeline on a reverse vending machine, achieving 90.2% end-to-end correctness in offline evaluation. I built AWS data infrastructure to turn machine AI outputs into structured analytical data.
```

## Experience

### AI & Business Intelligence Engineer

Drop Me. Dec 2025 - Sep 2026

```text
Built an Arabic and English customer assistant using FastAPI, Gemini, and API tool calling, and developed a chatbot evaluation workflow with 885 automated test cases. Deployed a YOLOv8 and DINOv2 pipeline on a reverse vending machine, achieving 90.2% end-to-end correctness, and built AWS data infrastructure for machine AI outputs.
```

Skills: fastAPI, Gemini, Tool-calling, GuardRails, YOLOv8, DinoV2, AWS-RDS, Lambda, S3, EventBridge, Python, Model-Evaluation

### AI Engineer Intern

Drop Me. Sep 2025 - Dec 2025

```text
Developed YOLOv8 detection and evaluated EfficientNet-B3 classification for item acceptance, reaching 0.75 mAP@0.5:0.95. Optimized CPU inference using OpenVINO and ONNX, reducing latency to approximately 170 ms per item, and built a beverage brand recognition workflow using clustering and K-nearest neighbors.
```

Skills: YOLOv8, EfficientNet-B3, OpenVINO, Onnx, Clustering, K-Nearest-Neighbors, Object-Detection, Model-Evaluation

## Education

### Ain Shams University

Bachelor of Science, Electrical Power and Machines Engineering. 2020 - 2025

```text
Pursued a Bachelor of Science in Electrical Power and Machines Engineering, graduating in 2025.
```

## Tech stack

- AWS IAM
- Amazon EC2
- Amazon S3
- NumPy
- Pandas
- OpenCV
- Python
- C++
- C
- TensorFlow
- PyTorch
- scikit-learn
- OpenVINO
- FastAPI
- Linux
- Gemini
- AWS Lambda
- Amazon RDS
- Git
- Docker
- GuardRails
- SQL
- Amazon EventBridge
- N8N
- Retrieval-Augmented Generation (RAG)
- AWS

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

## People also viewed

- [Salma Mohammed hamed](https://himalayas.app/@salmamohammedhamed): AI Engineer Intern, Al Arcade
- [Omar Salman](https://himalayas.app/@omarsalman): Prompt Engineer, Outlier.ai
- [Youssef Medhat](https://himalayas.app/@youssefmedhat): Research Assistant, Dilab
- [Ahmed Essam](https://himalayas.app/@ahmedessam2): Machine Learning Engineer Intern, Digital Egypt Pioneers Initiative (DEPI)
- [Mohamed Hagag](https://himalayas.app/@mohamedhagag): AI Engineer Mentor, Instant Software Solutions
- [Hala Mohamed](https://himalayas.app/@halamohamed2): Scientific Computing Research Intern, Deutsches Elektronen Synchrotron (DESY)
- [arwa eldesawy](https://himalayas.app/@arwaeldesawy): AI Intern, Agricultural Bank of Egypt
- [Mohamed Ahmed](https://himalayas.app/@mohamedahmed34): Independent Data Science Projects, Self Employed
- [Omar Amin](https://himalayas.app/@omaramin): Computer Vision Intern, National Technical Institute
- [Hamdy hamada](https://himalayas.app/@hamdyhamada): AI Engineer Intern, Elevvo