Open to opportunities

Ziad Hamada

@ziadhamada

Message

AI & Machine Learning Developer building computer vision and NLP systems that solve problems.

Egypt

Message

What I'm looking for

I’m looking for a role where I can build and deploy end-to-end AI systems—especially Computer Vision and NLP (including RAG)—while collaborating in a team and turning research ideas into real products with measurable impact.

I’m an AI & Machine Learning Developer specializing in Computer Vision and NLP, focused on building end-to-end intelligent systems that deliver practical outcomes. I’ve built RAG-based research platforms, emotion-aware recommendation engines, and real-time gesture recognition solutions—always with an eye on latency, accuracy, and usability.

I also bring a strong execution mindset from multiple applied projects: automating bilingual (Arabic/English) research workflows with Groq and Serper, engineering a PDF interaction system with optimized Arabic RTL rendering, and creating fitness computer-vision modules for pose monitoring and food recognition. Alongside development, I’ve mentored 50+ students through GDSC technical bootcamps, leading deep-dive sessions on topics like Unsupervised Learning and K-Means clustering.

Experience

Work history, roles, and key accomplishments

Current

AI Technical Instructor

Current

Google Developer Student Clubs (GDSC)

Jan 2024 - Present (2 years 5 months)

Led AI and machine learning bootcamps for 50+ students, delivering deep-dive sessions on unsupervised learning and K-Means clustering. Mentored junior members on ML fundamentals, project development best practices, and problem-solving strategies.

Machine Learning Unsupervised Learning Mentorship Python

Education

Degrees, certifications, and relevant coursework

Akhbar El Youm Academy

Bachelor of Computer Science, Computer Science

Activities and societies: Smart Academic Research Platform (RAG, Serper/Groq, Arabic RTL PDF querying); iCoach (pose monitoring, food recognition, LLM fitness chatbot); Elite Football Tactical Analytics (YOLOv8/ByteTrack, homography tactical maps); AI Hand Gesture Translator (20+ gestures, 30+ FPS); Emotion-Aware Recommendation System (CNN emotion detection + mood-based recommendations).

Bachelor of Computer Science expected to graduate in June 2026. Completed coursework in machine learning, data structures & algorithms, database systems, and computer vision, and built multiple AI/computer-vision projects including RAG-based document interaction and gesture/emotion recognition systems.