I
Restaurant Analytics
Forecasting · Full stack
Built for a working restaurant. Three decompositions find the patterns in a year of orders, an LSTM projects the fortnight ahead, and it lands as a shopping list.
MMXXVI
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Est. MMXXVI
LOUAI Eddiaz
AI Engineer · Project Manager
I build systems that decide: retrieval pipelines, agent orchestration, and the delivery discipline to get them into production.
I. Genesis
Where the work comes from
I build AI systems, and I can tell you whether anyone actually needs one. Those turn out to be different skills.
Sales floor, then delivery, then building the systems myself. The same lesson at every step: projects fail on translation, not on technology.
10+
Projects delivered
02
Teams led
03
Languages
01
Year shipping
II. Works
Selected exhibits
II
WhatsApp Commerce Agent
Conversational commerce · Agents
An ordering and customer service agent living inside WhatsApp. An intent router splits orders from purchases, and nothing reaches a customer unapproved.
MMXXVI
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III
SentiStream
Streaming · Distributed ML
Sentiment on Amazon food reviews as they arrive, not in a nightly batch: Kafka streams, Spark MLlib classifies, MongoDB keeps. Team of four; I built the pipeline.
MMXXVI
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IV. Craft
The instruments
AI & ML
- Large language models
- Retrieval-augmented generation
- Agent orchestration
- PyTorch
Data
- Python · pandas
- SQL & warehousing
- Feature engineering
- Forecasting
Delivery
- Agile & Scrum
- Roadmapping
- Stakeholder management
- Scoping
Engineering
- FastAPI · REST
- Docker
- Git & CI/CD
- Google Cloud
