Building data pipelines, AI-ready systems, and applied AI products.
name: Ali Alyan
location: Cairo, Egypt
university: Helwan National University
major: Data Science
cgpa: 3.58 / 4.00
primary_track: Data Engineering
secondary_track: Applied AI
what_i_build:
- ETL pipelines
- APIs and dashboards
- AI-ready data systems
- LLM and RAG applications
- production-style technical projects
target_roles:
- Data Engineering Intern
- Data Platform Intern
- Analytics Engineering Intern
- Applied AI Intern
- ML Engineering Intern
- Research / Project AssistantI am building toward one clear profile:
A Data Engineer who can also build applied AI systems.
That means I care about the full path from raw data to useful product:
raw data
→ ingestion
→ cleaning
→ transformation
→ storage
→ API / dashboard
→ analytics or AI layer
My main focus is Data Engineering because good AI systems need strong data foundations.
My second focus is Applied AI because I want to use models and LLMs inside real products, not isolated demos.
AI-powered job discovery platform that analyzes live job listings and estimates AI disruption risk using LLM-based reasoning.
type: Applied AI product
status: deployed prototype
data_source: Remotive API
ai_layer: Groq / LLaMA
deployment: VercelBuilt: live job-data ingestion, LLM-based scoring, AI career guidance, job filters, and serverless deployment.
Stack: JavaScript · Node.js · Vercel Serverless · Groq API · LLaMA · Remotive API
Graduation project and startup prototype exploring encrypted collaboration workflows for documents, communication, and team productivity.
type: graduation project / startup prototype
status: under active development
focus: encrypted collaboration workflowsContributions: client-side encryption flow design, real-time collaboration logic, Docker-based workflows, security documentation, and threat-model thinking.
Stack: Node.js · WebSocket · Docker · CryptPad · ChainPad · JavaScript/TypeScript
| Project | Focus | Stack |
|---|---|---|
| Course Management System | OOP, role-based academic workflows | Java, JavaFX, FXML |
| Genetic Algorithms in AI | optimization and search | Python |
| Logistics Supply Chain System | role-based CLI system and permissions | C / systems concepts |
Certifications are supporting evidence, not the main story.
| Track | Selected credentials |
|---|---|
| Data Engineering & Cloud | IBM Data Engineering · GCP Data Engineering / Big Data / ML · Google Data Analytics · AWS ML Engineer |
| AI / ML Engineering | IBM AI Engineering · IBM Machine Learning · Microsoft AI & ML Engineering · CS50 AI with Python |
| MLOps, LLMs & Systems | Duke MLOps · AWS Bedrock / AI Agents · NVIDIA LLM Applications · CS50x · Knowledge Graphs |
I like explaining technical ideas in a visual and simple way.
I have worked on educational content using Python and Manim, including visual explanations of AI concepts, GPS, and WiFi.
Teaching forces clarity.
If I cannot explain a system simply,
I probably do not understand it deeply enough.
