👋 Daya Sylla — AI & Data Engineering.
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.
About
AI & Data Engineer
Profile
Where we focus
- Data pipelines (BigQuery, ELT/ETL)
- Machine learning & scoring
- LLMs & RAG
- Orchestrated AI agents (multi-agent)
- MCP (Model Context Protocol)
- AI applications (FastAPI, React, Next.js, Streamlit)
- Cloud delivery (Cloud Run, CI/CD, Docker)
- Infrastructure as Code (Terraform)
What sets us apart
Product mindset: we don’t stop at models — we ship apps that teams actually use.
Modern AI: advanced RAG, agent orchestration (LangChain, LangGraph), MCP, multi-LLM (OpenAI, Gemini, Vertex AI), monitoring (Langfuse, cost, hallucinations).
End-to-end delivery: FastAPI backends, React / Next.js frontends, Streamlit for rapid tools — production-ready outputs, not just notebooks.
Infra & release: Docker, Cloud Run, CI/CD, Terraform on GCP — minimal friction from dev to prod.
Examples of work
- AI knowledge assistant (RAG + sourced answers, onboarding)
- Tender analysis platform (extraction, scoring)
- AI reporting automation
- ML scoring & segmentation systems
- Finance data platform & BigQuery (enterprise retail context)
Stack & how we help
AI & agents: LangChain, LangGraph, MCP, OpenAI, Gemini, Vertex AI.
Apps: FastAPI, React, Next.js, Streamlit · Data: Python, SQL, BigQuery.
Cloud & DevOps: GCP (Cloud Run, Dataflow…), Docker, CI/CD · Infra: Terraform · Observability: Langfuse, solid LLMOps.
We can build full AI applications, productionize a POC, connect LLMs to your systems (MCP), and deploy scalable architectures.
Our view
AI shouldn’t stay a chatbot-only story: a complete app, embedded in workflows, agent-driven, scalable, and monitored — that’s what we build.
📩 We’re open to opportunities, engagements, and ambitious projects.
Experience
-
Axys - Centre d'Innovation
2025 — PresentAI Engineer
R&DProjects
- Onboarding AI Assistant Conversational agent on SharePoint with source citations.
- Tender Analysis Platform Intelligent tender analysis with scoring.
- Automated Reporting Automated report generation from PowerPoint / Excel.
Responsibilities
- Advanced RAG architecture design
- Multi-LLM orchestration
- FastAPI backend development
- Cloud Run deployment
- LLM monitoring (Langfuse)
- CI/CD pipelines
-
Carrefour
2023 — 2024Data Engineer
FinanceHighlights
- ERP migration PeopleSoft → SAP
- Centralized data lake on GCP
- 50% reduction in accounting control cycle time
Tech stack BigQuery · SQL · Looker · SAP · Dataplex
-
Škoda (Volkswagen Group)
2023ML Engineer
MarketingHighlights
- ML lead scoring
- Marketing campaign optimization
- Audience segmentation
Tech stack Vertex AI · BigQuery ML · Python · SQL
-
La Poste
2023Data Analyst / BI Engineer
Highlights
- Power BI dashboards
- Power Query automation
- Accounting transformation KPIs
Tech stack Power BI · DAX · Power Query
-
SNCF
2022 — 2023Data Analyst
Highlights
- Safety & environment dashboards
- Data quality pipelines
- KPI modeling
Tech stack Power BI · DAX · Excel VBA
-
Air France
2022Data Analyst
Highlights
- Pricing optimization
- Profitability predictive models
- Flask analytics app
Tech stack Python · SQL · Flask · SAP
Education
- Master's — economic engineering and data analysis 2021 — 2022
- Master's — applied statistics for decision analytics 2019 — 2021
Skills
A concise view of technical and interpersonal skills I rely on in delivery work.
Technical skills (hard skills)
Languages, tooling, cloud and production practices — the backbone of my data & AI deliverables.
Core
- Architecture Data & IA
- RAG Systems
- LLM Engineering
- FastAPI Backend
- CI/CD Pipelines
- Data Engineering
- Machine Learning
- Data Visualization
AI & LLM
- LangChain
- LangGraph
- Langfuse
- Gemini
- OpenAI
- Vertex AI
- Prompt Engineering
- RAG pipelines
Cloud
- GCP (BigQuery, Cloud Run, Vertex AI, Dataplex)
- Azure AI Studio
- AWS
Data & languages
- Python (Pandas, Scikit-learn, PySpark)
- SQL
- Polars
- R (Shiny)
- Scala
DevOps & orchestration
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Airflow
- Kafka
Frontend
- React
- Next.js
- Tailwind
- TypeScript
- HTML/CSS
BI & analytics
- Power BI
- Looker
- SAP Analytics Cloud
- Excel VBA
Mindset & collaboration (soft skills)
Professional posture and teamwork to clarify needs, protect quality, and make outcomes actionable.
- Communication & storytelling for business stakeholders
- Workshops facilitation and requirements framing
- Team collaboration (agile cadence, reviews, pair work)
- Rigor, structure & delivery documentation
- Time management & priority trade-offs
- Technical curiosity & continuous learning (AI, data, cloud)
Tech stack (preview)
Technologies and tools I use often — not exhaustive; aligned with projects and CV (Shields.io badges).
Languages, data science & BI
Cloud, DevOps & environments
Front-end, back-end & data
Methods & collaboration
Certifications
Certifications on LinkedIn — full, up-to-date list.
Data engineering, data science & analysis
Expand a row to open the verification link (and an image when available).
Certificates
-
Certified 2024 Microsoft Power BI Data Analyst Associate (PL-300)
-
Certified 2023 Alteryx Designer Core Certification
-
Certified 2021 Elsevier Scival
Languages
- French (native)
- English (fluent)
Interests
- Football
- Basketball
- Scrabble
- Crosswords