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58 changes: 58 additions & 0 deletions README-ammas.md
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# Ahmed Sharaf

Hi there! 👋 I'm Ahmed, a passionate software engineer and researcher with a strong background in Artificial Intelligence, NLP, and cutting-edge data visualization. I thrive on building impactful projects and solving challenging problems. Here's a glimpse of my work and skills:

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## 🌟 Projects

### 🔍 **VSR (Lip Reading) for Egyptian Arabic**
- **Tech Stack:** Python, TensorFlow, OpenCV, GCP, FFmpeg
- I spearheaded the creation of the **first-ever Visual Speech Recognition (VSR) dataset for Egyptian Arabic**, working with a team of 33 volunteers.
- Developed 7 state-of-the-art VSR models with remarkable accuracy metrics:
- **Top-1 Accuracy:** 97.44%
- **Character Error Rate:** as low as 3.8%
- This project broke new ground for VSR in low-resource languages, opening doors for advanced accessibility and communication technologies in the region.

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## 💼 Professional Experience

### 💡 **Software Engineer Intern at Valuenex Inc.**
*Jun 2022 – Sep 2024 | Palo Alto, CA*
- Developed a **document categorization algorithm** using computational geometry and hierarchical data mapping.
- It became a **core production feature**, adopted by **half of the Fortune 500 companies in Japan**.
- Designed and built a **Unity 3D game** that landed the company its **largest-ever contract** with Otsuka, a leading pharmaceutical company ($30Bn+ market cap).
- Created a **GPU-accelerated interface** for projecting 5M+ data points as documents on a spherical surface.
- Users could explore immersive 360° visualizations via VR or mobile devices.
- Optimized interaction with **precomputation and boundary-aware caching**, achieving a **250x speedup**.
- Launched a **mental health app** for clinical trials:
- Built with MongoDB, RESTful APIs, and React Native.
- A/B tested and deployed multiple iterations to maximize user engagement and stress reduction.

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### 🧠 **Stanford NLP Researcher (Prof. Monica Lam & Chris Manning)**
- **GPT Agents and Retrieval-Augmented Generation (RAG):**
- Integrated GPT feedback agents into **STORM**, a multi-agent LLM generating comprehensive, cited articles for **30k+ users**.
- Built and deployed a **custom RAG pipeline** using Qdrant and Langchain, enabling personalized data retrieval from user-uploaded repositories.
- **Advancing NLP for Arabic:**
- Fine-tuned Google’s **BERT model** on 2.5M+ Egyptian Arabic sentences, achieving **67.2% F1 score** on unsupervised question answering.
- Developed tools for annotating and training Egyptian Arabic NLP models:
- Improved NER accuracy from **74% to 88.6%** with a Flask annotation app.

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## 🛠️ Technical Skills

- **Languages:** Python, C, C++, C#, JavaScript, Swift, SQL
- **Frameworks/Tools:** React Native, Node.js, Flask, Firebase, MySQL, MongoDB
- **Libraries:** PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn, Pandas, Matplotlib

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## 🎖️ Achievements

- **Egypt National Valedictorian** (Rank: 1/200,000)
- Competitor in the **International Math Olympiad** (2x) and **Intel ISEF** (2x)
- Finalist in the **Egypt Physics Olympiad**