Mohamed Zakaria

Led a team of 3 volunteers to bring AI to a Sudanese non-profit initiative, building the organization's first RAG chatbot to answer visitor questions using its own documents.

Customize Odoo ERP solutions and build custom apps to support client business processes. Develop AI automation workflows and prepare product requirements documents and technical proposals.

Shared personal journey from university student to working software engineer with first-year and graduating Computer Science students, encouraging them to build projects and start careers early.

Led two sessions for Sudanese students on software engineering career paths and securing internships, scholarships, and international opportunities. Received a certificate of appreciation.

Evaluated a quantized ECG heartbeat classifier for edge devices, achieving 92.7% accuracy on 1,000 ECG images. Proposed deployment on a microcontroller for portable ECG devices.

Made Generative AI and AI agents approachable for high school students through two sessions, and mentored five female students in building a graduation project that was selected as one of SYC's best projects.

Developed VisionTTS, a system describing scenes aloud in Kinyarwanda for visually impaired users, and a Kinyarwanda Sign Language gesture recognition system. Built prototypes using open AI models and achieved ~98.5% accuracy on sign recognition.

Led a team that placed 6th among Top 10 startups at Code for Impact 2025, deploying Meta's open-source Kinyarwanda text-to-speech model and demonstrating it in a smart glove for sign language translation.

Grade: 4.0/5.0

Pursuing a BSc in Computer Science with a focus on Software Engineering, maintaining a cumulative GPA of 4.0/5.0 and earning a 5.0 GPA in the final two years.