// AI ENGINEER · PARIS, FRANCE

Mahmoud El Sayed — AI Engineer

Explore the pipeline ↓ Get in touch
input: visitor → output: collaboration
01 / INGEST

About me

I'm an AI Engineer with a strong background in data engineering and data analysis. I design and ship end-to-end AI systems — LLM-powered applications, AI agents, RAG pipelines, MCP servers — along with the data pipelines and evaluation frameworks behind them.

Currently in Paris pursuing a Master's in AI for Connected Industries at CNAM while building AI systems for code analysis, security scanning, and GDPR compliance at Ideatolife & ONEX — where I lead projects end-to-end and my work has reached clients like PwC.

I care about the unglamorous parts that make AI actually work: data pipelines, robustness, evals, and performance constraints. And I never stop learning — there's always a course in progress.

0
YEARS+ BUILDING AI SYSTEMS
0
COUNTRIES WORKED REMOTE
0
INTERNS TRAINED & MENTORED
0
TECHNOLOGIES IN PRODUCTION
02 / TRANSFORM

Skill stack

AI engineering

LLMsAI agentsRAGVector DBsMCPNLPFederated learningPredictive maintenancePrompt engineeringModel evaluation

Programming & data

PythonJavaC++SQLData pipelinesETL

Frameworks & backend

PyTorchTransformersLangChainHuggingFaceFlower (flwr)FastAPIDjangoFlaskFastMCPPandas

Cloud, networks & tools

AWSDockerBigQuerydbtn8nNetwork architectureWireless & mobile networksRobotStudioPower BILooker Studio
03 / EMBED

Experience

APR 2024 — PRESENT

AI Engineer

Ideatolife & ONEX · Dubai, UAE (remote)
  • Built production AI systems using LLMs (GPT, Claude, open-source) for code analysis, security scanning, and GDPR compliance.
  • Engineered MCP servers, AI agents, and AI-powered code editor extensions; developed RAG pipelines with vector databases.
  • Mentored 3 interns, led projects end-to-end, and served as first point of contact for clients — requirements, follow-ups, and product demos.
  • Created evaluation and testing frameworks to assess model performance and robustness.
  • Designed and built both backend and AI systems of production AI applications; automated workflows with n8n.
  • Delivered advanced Power BI dashboards and paginated reports for PwC (Big Four). Recognized for ownership and independently driving complex AI initiatives.
DEC 2023 — MAR 2024

Data Intern

N Squared Digital · California, USA (remote)
  • Built data ingestion pipelines and custom connectors into Google BigQuery.
  • Developed dbt transformations and automated workflows; shipped Looker Studio dashboards.
APR 2022 — SEP 2022

Coding Instructor

BrightChamps · India (remote)
  • Taught programming fundamentals and computational thinking across multiple levels.
  • Recognized as a top-performing instructor for communication and student engagement.
04 / FINE-TUNE

Education & training

2025 — PRESENT

MSc Computer Science — AI for Connected Industries (AI4CI)

CNAM, Paris, France
BGF Scholarship
2020 — 2023

BSc Computer Science

Beirut Arab University, Lebanon
MAF Scholarship
AUG — SEP 2023

Full-Stack Data Bootcamp

SE Factory, Beirut — 12 weeks of cloud architecture, ETL, SQL, Python & Power BI
05 / RLHF

Beyond the code

$ rlhf.collect_feedback() — 6 samples · all accepted ✓
SAMPLE #01✓
source: interns

Mentorship

"Trained 3 of us from onboarding to shipping production code on our own."
reward: +0.00
SAMPLE #02✓
source: projects

End-to-end ownership

"Led from first design call to production deployment — backend, AI systems, everything between."
reward: +0.00
SAMPLE #03✓
source: management

Recognized

"Repeatedly recognized for leadership, initiative, and the ideas and suggestions he brings to the table."
reward: +0.00
SAMPLE #04✓
source: products

Product sense

"Contributed to the design of multiple production applications — thinks product, not just code."
reward: +0.00
SAMPLE #05✓
source: clients

Client-facing

"Our first point of contact — gathering requirements, following up, and demoing from kickoff to delivery."
reward: +0.00
SAMPLE #06✓
source: self

Always learning

"Self-driven courses running constantly — AI, cloud, whatever the next project demands."
reward: +0.00
policy update: hire_worthiness ↑↑ · gradient applied
06 / GENERATE

Projects

$ model.generate(projects) ▋

A curated set of projects is being fine-tuned. Check back soon — or reach out and I'll happily walk you through what I'm building.

OUTPUT

Let's build
something intelligent.

response_format: coffee ☕ | collaboration 🤝 | opportunity 🚀
latency: usually < 24h
temperature: 0.7 — creative, but I won't make things up

$ evaluate_candidate --name "mahmoud el sayed"

  benchmarks ........ exceeds expectations
  hallucinations .... none — claims verified ✓
  team_fit .......... brings jokes AND ships code
  recommendation .... HIRE — confidence: 99.7%

  # the remaining 0.3% is just temperature
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