Who are we?

We design and ship AI systems that move from prototype to production.

Beyond one-off POCs, we build scalable, orchestrated, production-grade systems wired into real business workflows.

Continue reading — About
Data & pipelines
Data engineering
Business Intelligence
ML & analytics
AI agents
MLOps & production
Observability & SRE
Software engineering
Security & compliance
Cloud & visualization
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Professional profile visual

Across projects, one conviction has stood out: in data, what matters isn't the technology you pick, but the impact of the solution you deliver.

Daya Sylla

Founder, SenLab AI

Data & AI Engineer

Data & platforms

SQL and Python pipelines, BigQuery, modeling and SAP / datalake integration, automation, data quality, and production hardening (CI/CD, containers).

Enterprise contexts

Consulting in finance, marketing analytics and accounting — retail, automotive, telecom, aviation.

ML, BI & product

Vertex AI and BigQuery ML, LLMs / RAG and orchestrated agents, Power BI, Streamlit, and APIs — from experiments to business-ready deliverables.

Python

Google Cloud

Power BI

Streamlit

PARTNERS

They trusted us

Our experience in consulting, data and transformation — including Axys, Carrefour, Škoda France, La Poste, SNCF Réseau and Air France.

SNCF Réseau

Air France

Axys

Carrefour

Škoda France

La Poste

How we can help

Three practical levers—from framing to production—with a strong focus on business clarity.

Data & industrialization

Pipelines, warehouses, quality and SAP / S/4HANA integration on GCP—deliverables teams can run with.

ML & analytics

Vertex AI, BigQuery ML, scoring and Power BI / Looker storytelling for decisions.

Reliability & shipping

Containers, observability, guardrails and short iterations to de-risk releases.

JOURNEY

Profile & field experience

Projects built from hands-on Data & AI experience: SQL, Python, cloud, automation, and industrializing solutions at scale.

  1. 1

    Transport & aviation

    Engagements around SNCF Réseau and Air France: high volumes, operational KPIs, and expectations for data quality and traceability.

  2. 2

    Retail

    Carrefour context — retail analytics and collaboration with business teams on performance and usage patterns.

  3. 3

    Automotive

    Škoda France — commercial data and reporting for field and management teams.

  4. 4

    Postal & logistics

    La Poste — initiatives focused on operational data and service performance.

  5. 5

    Consulting & telecom

    Axys and heterogeneous data landscapes — scoping, integration, and decision-oriented deliverables.

BLOG

Articles & technical notes

Guides, field notes, and demos on data, ML, and cloud platforms.

Browse all posts

LABS & OPEN SOURCE

Platforms, product work & public code

A practical extension of the journey documented on About: hosted demos (GCP / Cloud Run), experiments, and public GitHub repositories — tied to the retail, transport, aviation, and telecom contexts described in the profile.

10 visible platforms
See all projects

OPEN SOURCE

All public GitHub repositories

Browse every public repository in one place — dynamic cards, full-text search, and language filters powered by the GitHub API.

Great for exploring code, topics, and demos attached to each project.

Open the repository catalog View on GitHub

Tech stack (preview)

Technologies and tools we use often — not exhaustive; aligned with projects and CV (Shields.io badges).

Languages, data science & BI

PythonRSQLTypeScriptScikit-learnPySparkBigQueryVertex AIPower BILookerExcel VBAMLOps

Cloud, DevOps & environments

Google CloudAzureDockerKubernetesTerraformDataflowDataprocCI/CDGitGitHubPowerShellLinuxShellLaTeXVS Code

Front-end, back-end & data

StreamlitReactHTML5CSS3FastAPIFlaskDjangoNode.jsPostgreSQLSAPSAP HANASAP Fiori

Methods & collaboration

ScrumConfluence