class OmarHamza:
role = "Backend Engineer & AI Systems Builder"
university = "Faculty of Engineering, Cairo University"
major = "Systems & Biomedical Engineering (2023–2027)"
location = "Cairo, Egypt 🇪🇬"
specialization = [
"Scalable REST API Design & Clean Architecture",
"Database Modeling, Caching & Query Optimization",
"Retrieval-Augmented Generation (RAG) Systems",
"Real-time Systems · Healthcare Data Engineering",
]
current_focus = [
"RAG Agents with production-grade evaluation pipelines",
"GCI Global Data Science Program — University of Tokyo",
"Google x ITI Build with AI — GCP",
"Harvard Health Systems Innovation Lab Hackathon",
]
fun_facts = [
"🏊 National Swimming Champion (2018–2023)",
"🩺 Biomedical engineer who builds healthcare software",
"📐 Designs systems before writing a single line of code",
]
def goal(self): return "Build backend systems and AI pipelines that actually work in production"I don't just write code — I architect systems. Here's what that looks like in practice:
🖥️ Backend Systems & APIs — Production-ready RESTful APIs with layered MVC architecture, JWT/RBAC auth, rate limiting, and structured error handling. I think in contracts, not just endpoints.
🗄️ Database Engineering — Schema design from scratch: ER modeling, migrations, query optimization, Redis caching. Designed 15-entity schemas with 31+ relationships and indexing strategies for real performance gains.
🤖 AI & RAG Pipelines — LLM-powered applications that are actually reliable: semantic chunking, FAISS vector retrieval, grounding validation guardrails, and structured evaluation frameworks. Not prototypes — production pipelines.
🏥 Healthcare Data Engineering — Software engineering rigor applied to biomedical problems: hospital systems, patient feedback intelligence, ECG signal processing.
⚡ Real-time & Performance — Socket.IO messaging/notifications, Redis caching layers, pagination design, and recommendation engines built to scale.
🐍 Languages
⚙️ Backend & APIs
🗃️ Databases & Data Modeling
🤖 AI & LLM Systems
🔩 Software Engineering & DevOps
🖼️ Frontend
|
Backend Sub-Team Leader · 5-person team SoundCloud-scale music platform with strict layered MVC architecture. Zero SQL outside models. Zero logic in controllers. Every async handler wrapped. This is what clean architecture looks like shipped.
|
NVIDIA x ITI AI Engineering Internship Production-style RAG system for legal contract Q&A. Semantic chunking → FAISS vector index → OpenAI embeddings → LLM generation, with grounding validation to prevent hallucination.
|
|
Full-Stack Healthcare Software Full-stack HIS aligned with real cardiology department workflows. PostgreSQL schema modeled from genuine clinical operations, RBAC designed for clinical roles — not a toy CRUD app.
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NVIDIA x ITI Generative AI Bootcamp LLM pipeline for structured classification of hospital patient feedback. Turns unstructured clinical text into actionable, categorized insights using prompt engineering and modular LangChain design.
|
|
Team Nexum · Egypt–Bahrain–UAE · 6th Place Overall International AI competition. MILP-based inventory optimization engine integrated with ML demand forecasts. Streamlit decision-support dashboard for cost trade-off visualization. Evaluated by a tri-national industry committee.
|
Biomedical Signal Processing DP-based ECG waveform alignment with tunable gap penalties and GUI visualization. Applied to real biomedical datasets for clinical-grade waveform comparison.
|
| Achievement | Year | |
|---|---|---|
| 🎓 | NVIDIA DLI — Building RAG Agents with LLMs | 2026 |
| 🎓 | NVIDIA DLI — Building LLM Applications with Prompt Engineering | 2025 |
| 🎓 | NVIDIA DLI — Augment Your LLM Using Retrieval Augmented Generation | 2025 |
| 🏅 | ARABCAB Scientific Competition — 6th Place Overall (International, tri-national jury) | 2026 |
| 🔬 | Harvard Health Systems Innovation Lab Hackathon — Selected Participant | Active |
| 🌍 | GCI Global Data Science Program — University of Tokyo | Active |
| ☁️ | Google x ITI Build with AI — GCP AI Engineering | Active |
| 🏊 | National Swimming Champion (2018–2023) · Team Captain 2022 | 2018–2023 |
| ❤️ | Resala Charity Volunteer | 2021–2022 |
- 🤖 Deepening RAG evaluation frameworks & LLM grounding validation techniques
- ☁️ Building with GCP AI tools through Google x ITI
- 📊 Advancing ML & data science skills through University of Tokyo GCI Program
- 🏥 Exploring AI applications in healthcare data and biomedical systems
- 🔧 Studying distributed systems design and backend scalability patterns
"It's not about having the best code — it's about shipping the right system."
Open to internships, research collaborations, and interesting problems. 📬 omar.hamza3064@gmail.com