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Amir LehmamAL

Amir Lehmam

Lead AI Consultant & Enterprise Architect.

€1,200/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Amir

👋 Hello!

I amAmir Lehmam, Lead Data & Cloud Engineer, CTO, and AI consultant.
I help scale-ups, mid-sized companies, and large corporations transform a data/AI idea into **"enterprise-grade" platforms**: FastAPI micro-services, real-time pipelines < 5 min, industrialized MLOps, and robust GDPR governance.

🚀 What I bring to you

  • Cloud & micro-services architectures : design/refactoring (12 FastAPI services, Docker-K8s, GitHub CI/CD, HA PG/Redis).
  • Real-time MLOps : deployment, monitoring, retraining (predictive maintenance, lead-scoring).
  • ETL & streaming pipelines : Spark, Airflow, Lambda→S3/BigQuery, < 5 min latency for 20,000+ ev/s.
  • SaaS & monetization : Stripe billing, Google/Apple OAuth, credit model (Captely: 1M leads/month).
  • Cost & performance optimization : –25% AWS/GCP, +20% OEE, TTM < 6 months, initial MRR ≥ €15k.
  • Change management : Design Thinking workshops, FR/EN training 50+ people, living documentation.

💡 Why choose me?

1. Measurable results (latency, ROI, MRR).

2. Proven scalability (> 1M contacts/month, HFT peaks).

3. Security by design (OAuth, JWT, TLS, GDPR, IAM).

4. 360° vision (tech + product + business).

5. Fluid communication (Bilingual FR/EN, clear reporting, live demos, wiki)

🔧 Stack & key skills

Python · FastAPI · Spark/PySpark · Docker · K8s · AWS/GCP/Azure · PostgreSQL · Redis · Databricks · CI/CD · Stripe · PowerBI · Kibana · GDPR

📦 Typical deliverables

  • Architecture blueprint, real-time pipelines (code + IaC),
  • K8s/Helm/GitOps deployment,
  • BI dashboards,
  • packaged & monitored ML models,
  • audit & 12-18 month roadmap,
  • training & wiki.

📝 Collaboration method

  • Express kick-off → MVP ≤ 4 weeks → weekly agile sprints → complete hand-over (tests, CI/CD, wiki).

Ready to boost your data / AI projects?
📧| 🌐 amirlehmam.com | 📞

Let's discuss your challenge!
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Basic

  • Spanish

    Basic

Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km)

Experience

  • Captely
    CTO & Co-Founder
    SOFTWARE PUBLISHING
    April 2025 - Today (1 year and 2 months)
    Paris, France
    • Micro-services architecture : design from scratch of a cluster of 12 FastAPI services / Docker Compose + Nginx reverse-proxy, HA PostgreSQL & Redis
    • Celery/Redis asynchronous pipeline : real-time enrichment (< 5 min) of 20,000+ contacts/day without SLA degradation
    • LinkedIn Sales Navigator Chrome Extension : automatic prospect extraction (2,500 leads/run) and direct push to the platform
    • “Cascade” enrichment engine : multi-provider fallback (Hunter, Dropcontact, Apollo, etc.) with quality & cost scoring
    • SaaS monetization : 4-tier model + credit system & usage-based billing via Stripe, ROI tracking per micro-service
    • Security & compliance : Google/Apple OAuth, JWT, TLS encryption, GDPR compliance for B2B prospecting
    Key Impact : "enterprise-grade" platform capable of enriching >1M contacts/month, TTM < 6 months, initial MRR ≥ €15k.
    IT Architecture Cloud Engineer
  • Pulsa Conseil
    Data & AI Consultant
    CONSULTING AND AUDITS
    June 2025 - Today (1 year)
    Paris, France
    • Data/AI Diagnosis & Industry 4.0 Roadmap : flow mapping, maturity/ROI assessment, and quick win identification for industrial sites
    • ML & MLOps Industrialization : deployment of ETL pipelines (Python / Spark / Azure), CI/CD & real-time monitoring (< 5 min) for predictive maintenance & quality models
    • Data Governance & GDPR Compliance : lineage, data quality, IAM, and security controls to reduce operational risks
    • Lean Analytics Steering : KPI definition (OEE, lead-time, scrap) and action plans delivering –30% lead-time & +20% OEE
    • Change Management : Design Thinking workshops & training for 50+ employees for AI adoption at scale
  • Nocode-ML
    CTO
    December 2023 - March 2025 (1 year and 3 months)
    Paris, France
    • Creation of an automated trading agent utilizing +60 strategies and indicators via Python.
    • Optimization of trading algorithms (backtests, performance metrics).
    • Deployment of AWS servers (EC2, Lightsail) and PostgreSQL database management.
    • Development of interactive dashboards for trading performance analysis.
    • Writing technical documentation (comprehensive open-source wiki).

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Education

  • Master2 IMC&DS
    UNIVERSITÉ PANTHÉON SORBONNE
    2023
    Mention Assez-Bien - Master Innovation Marketing Communication & Data Science Data Analytics, Business Intelligence, Com Corporate Strat, Design thinking, IA, Machine Learning, Deep Learning, E-Business, Marketing de l'innovation, Stratégie de contenu, Management et business plan.
  • Master 1 Data Analytics
    UNIVERSITÉ PANTHÉON SORBONNE
    2022
    Mention Bien Data Management, Machine Learning, Statistiques, Deep Learning, Elasticsearch, Spark, Times Series Appliqué à l'IA, Cloud Avancé.

Certifications

  • Microsoft Azure Data Fundamentals (DP-900)
    Microsoft
    2022
    https://www.credly.com/badges/01ab4985-9377-4983-ba95-384e6d6bc4dc/linked_in_profile
    Understanding relational concepts: normalization, SQL, database objects (tables, views, stored procedures…). Identifying the responsibilities of key roles: database administrator, data engineer, and data analyst. Knowledge of Azure services for relational data: Azure SQL Database, Azure SQL Managed Instance, SQL Server. Knowledge of Azure Cosmos DB features and use cases and its APIs (Core(SQL), MongoDB, Cassandra, Gremlin, Table). Mastery of structured, semi-structured, and unstructured data concepts. Understanding transactional (OLTP) and analytical (OLAP) workloads. Knowledge of common data file formats (CSV, JSON, Parquet…) and database types (relational, NoSQL). Understanding the elements of a large-scale analytical workload: data ingestion and processing, analytical warehouses, Azure Databricks.. Mastery of non-relational storage capabilities on Azure: Azure Blob Storage, Azure File Storage, and Azure Table Storage. Mastery of real-time analysis (batch vs streaming) and data visualizations in Power BI (modeling, visual types)

Skill set

Categories