I'm Mouad, a Data & AI Engineer at ATOS. My background is in signal processing; today I build data platforms and agents that work with them.
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01 / dacli — intent → tools
A data-engineering agent for the terminal. Ask for a capability; it writes a Python extension, validates it, and loads it into the running session.
02 / murmur — voice → useful text
A hotkey turns spoken thoughts into refined text, then pastes it at your cursor. Transcription and language models run locally.
03 / bitcoin dataset — prices → indicators
Hourly Bitcoin candles enriched with 70+ technical indicators, published as an open dataset for analysis and machine learning.
A little further into the workshop
- dag-doctor — investigates failed Airflow DAGs and proposes fixes.
- CAG-Lab — experiments comparing cache-augmented and retrieval-augmented generation.
- end2end-datawarehouse-project — streaming data through Kafka, Spark, AWS Glue, and Snowflake.
- skills — reusable instructions and methods for coding agents.
Tools I work with
Python, SQL · Snowflake, Spark, Airflow, Kafka · AWS, GCP · Docker, Terraform · LLM tooling, RAG, vector search.
Open to collaborations on data platforms and agentic AI. If you're building in that space, let's talk.