Summary
With over 30 years of experience in multiple industries and 9 years in machine learning, data science, and analytics, I am a seasoned data scientist skilled in machine learning and Python programming. I have contributed to renowned companies such as CaaStle, Tribal Credit, Reveel, TA Telecom, Mentor Graphics, IBM, HP, and Lucent Technologies. My career has spanned AI-driven underwriting, algorithm development, and data analytics integration.
Certifications
Work Experience
Leading the development of advanced AI-driven systems and frameworks, with a focus on personalized recommendations and innovative solutions. Demonstrated expertise in implementing cutting-edge AI technologies while maintaining cost-effectiveness and scalability.
- Developed a sophisticated personalized collection framework utilizing embedding and multi-tower models, achieving optimal balance between effectiveness and cost efficiency
- Created and implemented comprehensive documentation and design practices that became team standards
- Built an innovative demo tool for showcasing AI frameworks, which was subsequently adopted by the product team for specification and documentation
- Successfully led technical presentations to leadership, effectively communicating complex AI concepts and trade-offs
- Maintained cutting-edge knowledge of AI advancements and implemented them in practical business applications
Technology Stack:
- Deep Learning: PyTorch, TensorFlow, Neural Networks, Multi-Tower Architecture
- AI/ML: Generative AI, Large Language Models (LLMs), Vector Embeddings, Semantic Search
Oversaw fintech data strategy combining AI-driven underwriting and advanced analytics. Developed insights from diverse data sources, constructed scientific data models, and designed statistical and data mining products. Led initiatives to design and execute experiments that optimize data-driven business models.
- Large Language Model implementation
- Machine Learning systems development
- Data Science leadership
Directed data analytics for a stealth startup focused on subscription revenue optimization. Spearheaded development of a patent-pending algorithm for optimal business configuration. Introduced innovative "Pi" metric for improvement areas.
- Python and NumPy development
- Algorithm design
- Statistical analysis
Spearheaded the integration of data analytics and led the formation of a dedicated data science team. Implemented comprehensive data analysis solutions across departments.
- R programming
- Statistical Analysis
- Churn Analysis
- Tableau visualization
Led software testing and quality assurance initiatives. Developed testing tools and analytics dashboards.
- Software Testing
- Quality Management
- Six Sigma Implementation
Developed automotive embedded software and validation systems.
Led the Class 5 Switch Project testing team.
Developed software solutions and led Quality Management System deployment.
Conducted technical market research and business development.
Worked on GSM mobile networks and developed embedded applications.
Projects
Developed advanced neural network models using PyTorch for personalized recommendation systems.
Designed prompts for ChatGPT-4 enabling generation of diverse diagrams using Mermaid, D3, and PlantUML.
Engineered a Streamlit-based chatbot using Langchain and OpenAI's GPT-4.
Integrated ChatGPT with Mexican Tax Authority for real-time financial analysis.
Developed statistical process control system for financial monitoring.
Created parsing tool for Mexican bank statements with advanced security features.
Developed matching system using word embeddings and cosine similarity.
Education
Master of Business Administration
City University of Seattle (1999 - 2001)
Diploma - Computer Networking & Software Programming
Information Technology Institute (1996 - 1997)
Bachelor - Electrical & Electronics Engineering
Cairo University (1991 - 1996)
Publications
Active technical writer publishing tutorials on AI technologies (2024)
Published on Amazon (2023-09-15)
Patent
Apparatus and method for predicting future incremental churn from a recurring revenue product
US 20160189178 A1