- Worked in a hackathon environment focused on building and presenting applied AI solutions under time constraints.
- Developed stronger skills in teamwork, rapid prototyping, technical communication and solution evaluation.
Available nowGenerative AIRAGComputer VisionLLM APIs
Hi, I'm Adham Elsayed
I build intelligent systems that connect AI models with real-world applications — from evidence-grounded GenAI and RAG systems to computer vision and edge AI.
~/adhamAI ENGINEER
$ focus Generative AI · RAG · Computer Vision
$ build models → evaluation → APIs → products
$ latest 2nd Place · Mansoura AI Hackathon 2026
01About
Engineering AI beyond the model.
I focus on the complete loop: evidence, models, evaluation, APIs, deployment and the product experience around them.
Mansoura University
Building complete intelligent systems, not isolated demos.
I'm a final-year Artificial Intelligence Engineering student at the Faculty of Engineering, Mansoura University. My work spans Generative AI, RAG, computer vision, edge deployment, evaluation, APIs and intelligent applications.
I'm especially interested in systems that can show their evidence, measure their behavior and fail safely when confidence is not enough.
EducationB.Sc. Artificial Intelligence Engineering
DepartmentArtificial Intelligence
LocationEgypt
ApproachComplete AI systems, end to end
02Skills
A stack shaped by complete AI systems.
Explore the areas I use to move from a model or retrieval experiment to a measured, usable application.
Selected discipline
Generative AI
Grounded generation and useful LLM applications.
RAG
LLM APIs
Prompt Engineering
AI Agents
Hugging Face
Grounded Generation
05Experience
Training and applied AI experience.
Relevant technical programs, hackathon work and hands-on engineering experience — kept distinct from project ownership or employment claims.
03Projects
Selected systems, presented like products.
A mix of evidence-grounded GenAI, computer vision, edge AI, analytics and machine-learning work — with real metrics where they exist.
FEATURED · TEAM PROJECT🏆 2ND PLACE
MEDFLOWEvidence-grounded clinical AI
Generative AI / RAG / Healthcare AI
MedFlow-AI
Evidence-grounded clinical AI system using retrieval-augmented generation, verifiable citations, safety guardrails and evaluation-driven engineering.
53.12%Precision@4
87.50%Hit@4
≈ 0.7031MRR
Retrieval engineering metrics — not clinical accuracy.
Computer Vision / Edge AI
Smart Basket
Real-time retail product recognition and smart basket system using YOLO and OpenCV on Raspberry Pi with synchronized application state.
96.89%mAP@0.5
84.79%mAP@0.5:0.95
AI Exam Monitoring
Code AI Proctor
AI-powered exam monitoring platform combining webcam inference, incident detection and an auditable exam workflow.
Data Analytics
Student Performance Analysis
Exploratory analysis of student outcomes, study behavior and academic performance using reproducible Python data workflows.
Machine Learning / Big Data
Telco Customer Churn
PySpark machine-learning pipeline for churn analysis and prediction using encoded customer attributes and logistic regression.
04Achievement
2nd Place · Mansoura AI Hackathon 2026
A team achievement for MedFlow, an evidence-grounded clinical AI prototype built around retrieval quality, traceable citations and safety-aware behavior.
Team Project
Placement2nd Place
Mansoura AI Hackathon 2026
MedFlow — Evidence-Grounded Clinical AI
The team developed a clinical AI prototype that connects hybrid retrieval, evidence sufficiency checks, grounded generation, citation resolution and safety validation into one auditable workflow.
TypeTeam Project
ProjectMedFlow
Result2nd Place
06Certifications
Continuous learning, clearly organized.
Professional learning across Generative AI, machine learning, data and engineering programs.
Issued byAnthropic · Claude Academy
Building with the Claude API
GenAI
Issued byCisco Networking Academy
Python Essentials 1
Programs
Issued bySimplilearn SkillUp
Generative AI
GenAI
Issued byOne Million Prompts
One Million Prompts — Prompt Engineering
GenAI
Issued byCisco Networking Academy
Introduction to Modern AI
AI / ML
Issued byMicrosoft
Introduction to Generative AI and Agents
GenAI
Issued byMicrosoft
Develop a Generative AI Chat App with Microsoft Foundry
GenAI
Issued byCisco Networking Academy
Introduction to Data Science
Data
Issued byIBM SkillsBuild
Exploring Artificial Intelligence
AI / ML
Issued byHuawei
HCIA-AI V3.5
AI / ML2025
Issued byST Smart
Robotics Programming Training
Programs2025
Issued byZewail City of Science and Technology
Introduction to AI & Applications
AI / ML2025
Issued byIMPACT
Artificial Intelligence Training Program
Programs2024
07Contact
Let’s build something useful.
Open to AI engineering opportunities, technical collaborations and projects involving Generative AI, RAG, computer vision or edge AI.
Start a conversation
Have an AI problem worth measuring properly?
Send a short note about the system, role or collaboration. Email is the fastest direct route.
Email Adham