Ahmed Noshy
GenAI Engineer, Data Scientist
Delivering impactful AI-driven solutions
I'm Ahmed Noshy, an AI Engineer experienced in Automation, Data Science, and AI solutions. With a proven track record of delivering impactful AI-driven solutions and presenting complex concepts through public speaking engagements, I can efficiently deliver maintainable solutions at scale.
Currently pursuing my Bachelor's in Artificial Intelligence at Menoufia University, I specialize in developing enterprise-grade AI agents, advanced voice systems, and computer vision solutions that drive automation and enhance user experiences.
My expertise spans from machine learning and deep learning to automation workflows, with hands-on experience in building production-ready AI systems that achieve high accuracy and reliability.
Professional Journey
GenAI & Automation Engineer
- • Architecting and enhancing the advanced voice system – leading the development and refinement of conversational AI systems to ensure high accuracy, natural interaction - human-like-, and seamless user experience.
- • Developing enterprise-grade AI agents for businesses – designing and deploying tailored intelligent solutions that drive automation, optimize workflows, and enhance customer engagement.
AI Research Assistant
- • Conducting Master's level research on predictive healthcare – developing an advanced heart disease prediction system using machine learning and ensemble models, achieving 95% accuracy and 97% recall for reliable diagnostic performance.
- • Building an interactive diagnostic tool – integrating Random Forest, XGBoost, SVM, and other optimized models into a user-friendly Streamlit UI with cross-validation and hyperparameter tuning for robust real-world deployment.
Independent Data Scientist
- • Collaborating with clients on automation solutions – creating enterprise-ready AI agents and workflow optimizations that enhance efficiency and customer engagement.
- • End-to-end AI project delivery – handling the full cycle from data collection and preprocessing to model training, evaluation, and deployment on interactive platforms (Streamlit, FastAPI).
- • Developing AI-powered computer vision systems – delivering solutions such as disease detection in medical images, and anti-cheating face and motion detection with high accuracy and reliability.
Featured Work
A showcase of AI-driven solutions, from computer vision to NLP, each project demonstrates technical excellence and real-world impact.
Egyptian ID OCR
Advanced OCR system for Egyptian ID cards, leveraging deep learning to extract Arabic text with 90% accuracy. Integrated fraud detection mechanisms to identify fake elements, including manipulated images and invalid ID numbers.
10+ Automation Projects
A collection of automation tools and AI solutions designed to streamline repetitive tasks, improve productivity, and integrate smart data processing workflows. Projects include document automation, voice-based assistants, dashboard generators, and more.
ATS (Applicant Tracking System)
Implemented an Applicant Tracking System that analyzes resumes using NLP + Computer Vision. Features include resume parsing (OCR for PDFs/images), job category prediction across 25+ classes, keyword matching, section detection, plus a FastAPI and Streamlit GUI frontend.
RAG System Development
Built a RAG system using DeepSeek R1, Qwen 2.5, and Ollama, optimizing retrieval pipelines for ~85% accuracy and context-aware responses. Advanced implementation with multiple AI models for enhanced performance.
Chest X-Ray Detection
Developed and deployed a deep learning model for automated disease detection in chest X-ray images, achieving 93% accuracy. Utilized advanced CNN architectures to improve diagnostic precision and implemented real-time inference for medical use cases.
Real Data Sentiment Analysis
Developed a Twitter sentiment analysis system to classify tweets as positive, negative, or neutral, achieving 91% accuracy. Applied NLP and ML techniques to track public opinion trends and generate insights for social media monitoring and brand analysis.
Student Performance Analysis
Developed a machine learning-based system to analyze student performance and predict outcomes. Created an interactive Power BI dashboard for real-time insights and progress tracking with comprehensive data visualization.
Technologies I Work With
Python
TensorFlow
PyTorch
OpenCV
Scikit-learn
Pandas
NumPy
Docker
FastAPI
Streamlit
Hugging Face
LangChainPythonTensorFlowPyTorchOpenCVScikit-learnPandasNumPyDockerFastAPIStreamlitHugging FaceLangChainProgramming
Python, C++
Machine Learning
Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM
Deployment
Streamlit, FastAPI, Docker, PyQt
Let's Work Together
Ready to bring your AI vision to life? Let's discuss your next project.
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