🎓 Computer Science Graduate & AI Engineer passionate about building intelligent, production-oriented AI systems and bridging research with real-world applications.
- 🤖 AI & ML Expertise: Specialized in LLMs, RAG, Fine-Tuning (LoRA/QLoRA), Computer Vision, and building production-grade MLOps workflows.
- ⚙️ Backend & Serving: Experienced in developing scalable APIs using FastAPI, Flask, and Express.js, optimized model serving with vLLM, TensorRT, and Triton, and containerized deployments.
- 💡 Mission: Automating end-to-end ML lifecycles and delivering high-impact, reliable software solutions.
- 💬 Community: Active mentor in Python, AI, and data-driven thinking through leadership roles like GDG Zagazig.
RAG • Prompt Engineering • Tool Calling • Structured Outputs • Vector Databases • LoRA • QLoRA
AWS: S3 • EC2 • ECS • ECR | Azure Fundamentals | Pytest • Unit Testing • Integration Testing • Load Testing
- 🥇 Top 2 Performer on DataCamp (2024-2025) for Machine Learning & Data Science tracks.
- 👩💻 Core Team Lead – GDG Zagazig (Data Science Track) — led AI workshops, mentoring 50+ students.
- 🧑🔬 Completed multiple advanced ITI and NTI programs in Machine Learning, Computer Vision, and NLP.
⭐️ "AI is not just about automation — it's about augmentation. My mission is to make machines understand, assist, and empower humans."