diff --git a/README-ammas.md b/README-ammas.md new file mode 100644 index 0000000..a308058 --- /dev/null +++ b/README-ammas.md @@ -0,0 +1,58 @@ +# Ahmed Sharaf + +Hi there! πŸ‘‹ 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: + +--- + +## 🌟 Projects + +### πŸ” **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. + +--- + +## πŸ’Ό Professional Experience + +### πŸ’‘ **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 360Β° 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. + +--- + +### 🧠 **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. + +--- + +## πŸ› οΈ 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 + +--- + +## πŸŽ–οΈ 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**