Professional Overview
I am Mohamed Ashraf, a Computer Science student specializing in Artificial Intelligence and Machine Learning. I am passionate about building intelligent systems that analyze complex data and solve real-world problems, particularly in areas such as prediction, recommendation systems, and automation
Experience
AI Expertise
Skills
Description of Responsibilities
- Built ML models for prediction, classification, and recommendation systems using
- Developed NLP-based spam detection system with preprocessing and evaluation
- Designed automation workflows using n8n for CV screening and data processing
- Integrated OpenAI API for intelligent text analysis and decision support
- Analyzed data using Pandas and created visualizations for insights
Key Achievements / KPIs
- Achieved 92% accuracy in spam detection model using NLP techniques
- Reduced CV screening time by 70% using automation workflows
- Processed datasets with 10K+ records for predictive modeling
- Improved recommendation system performance by 30%
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
