mohamed Zarad

Build internal automation tools for the AI Transformation team that cut manual work across operations. Building the company's MCP server to expose internal systems and data to AI agents through one interface.

Launched the Huawei Cloud (HCSD) club (20 members) and hosted 4+ technical events. Led the AI Week Summit Speed-Run Hackathon (Jan 2026), drawing 15+ universities.

Founded and grew a 200+ member technical community; designed an AI curriculum that raised student placement by 20%. Created 4 training cohorts with structured capstone projects and a 100% graduation completion rate.

Streamlined workflows for 10 clients, cutting manual processing time by 60%. Developed a competitor-intelligence tool that scrapes 30 features across 300 competitors to auto-generate market reports. Created a design agent that produces 6 on-brand social media visuals per day.

Prototyped a zero-prompt, agentic website generator for travel agencies on a contract-first architecture. Designed the fixed backend and interchangeable front-end templates that bind to a shared field contract, populated from agency data via NLP parsing. Benchmarked 3+ LLMs on the generation task to compare reasoning approaches.

Trained image-classification models (TensorFlow, InceptionResNetV2, OpenCV) to 97.6% accuracy for medical diagnostics. Engineered a TensorFlow input pipeline for 3,000+ images with caching and live augmentation to improve model robustness.

Built classification and regression pipelines using TensorFlow, Scikit-learn, and Pandas over 35+ tasks. Delivered 3 capstone projects, integrating models into web applications for deployment. Built GuardianAI, a Chrome extension filtering toxic Arabic/English comments with an on-device TensorFlow.js model.

Grade: 3.96 CGPA

Pursuing a Bachelor of Artificial Intelligence Engineering with a CGPA of 3.96, ranked 4th in cohort.

Completed a Data Science Diploma covering data cleaning, Power BI, supervised and unsupervised learning, and deep learning.