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Mohand SadaliMS

Mohand Sadali

AI Developer | Agents & Automation | CRM/ERP

€350/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mohand

My goal: transform repetitive processes into intelligent automations to reduce costs and unlock your teams' potential.

This vision comes from my background as an embedded systems engineer, where I witnessed the burden of manual tasks firsthand. The arrival of LLMs and AI Agents was a clear opportunity to solve these problems. I combined my technical expertise with certifications (Google, Anthropic) in cutting-edge technologies (RAG, MCP, and AI Agents) to bring this ambition to life.

My Areas of Expertise:

Automations and AI Agents
  • Design and implementation of reliable and scalable workflows and AI Agents.
  • Proactive monitoring (logs, errors, alerts) for 24/7 availability.
  • Integration of APIs (REST/GraphQL), databases, and Cloud services.
  • Development of RAG systems to connect LLMs to your internal data.
  • Creation of custom solutions.
  • Rapid prototyping (PoC) to validate an idea in 48 hours.
  • Containerized and scalable deployment (Docker, Kubernetes).
  • Automation of production deployment via CI/CD pipelines.
  • Monitoring of model performance in production.

Edge AI
  • Model optimization (Quantization, Pruning) for resource-constrained devices.
  • Deployment on embedded platforms (NVIDIA Jetson, Raspberry Pi).
  • Hybrid Edge/Cloud architectures for low latency and privacy.

My Method: A Results-Oriented Technical Partner
  • Transparency & Autonomy: Clear documentation and video demos (Loom) to empower your teams.
  • Communication: Fluid and regular exchanges for perfect alignment with your objectives.
  • English

    Native or bilingual

  • French

    Native or bilingual

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

Experience

  • Divers Clients
    AI Developer
    December 2023 - Today (2 years and 6 months)
    Custom Low-Code Solutions (n8n)
    • Design and development of custom n8n workflows (Manual Trigger, HTTP Request, Code).
    • Document ingestion pipeline (PDF/Word via Google Drive) with OCR/parser and prompt assembly.
    • Robust API calls to various LLMs (authentication, retries, backoff) and preparation for TTS.
    • Automation of personalized emails (dynamic templates, field merging, response tracking).
    • Gmail/Outlook and Google Calendar integration for sending, tracking, and scheduling.
    • Multi-step orchestrator (lead→outreach→scheduling) and logging/analytics module (tokens, latency, errors).
    • Integration tests, validation scenarios, and operational documentation for handover.

    Cloud Solutions (RAG + ML Deployment)
    • Cloud ETL Scraper for targeted sources (job boards, LinkedIn).
    • RAG ingestion/indexing pipeline (vectorization, storage, update strategy).
    • Cloud document transformation (summarization → structured prompts → LLM) with schema validation.
    • Scalable LLM inference endpoints, model CI/CD (inference tests, ONNX conversion, progressive deployment).
    • Server-side Voice AI modules and platform integration (Vapi/Retell/Bland AI).
    • Server-side email automation (webhooks, classification) and CRM integration; agent performance analytics.

    Edge & Low-Power (Raspberry, Jetson Nano)
    • Model optimization for edge (quantization, pruning, ONNX/TensorRT).
    • Hybrid edge/cloud architecture for intelligent task delegation.
    • Embedded demonstrators (local inference, fast TTS) and secure OTA mechanism.
    • Global test plan, technical documentation, and interdisciplinary management.
    ETL Processes RAG Python Google Cloud Platform AI Agents
  • IDEMOOV
    Embedded Systems Engineer
    DIGITAL AND IT
    September 2023 - October 2024 (1 year and 1 month)
    Strasbourg, France
    • Definition of system architecture and writing specifications for the connected beekeeping project
    • Design and optimization of the electronic architecture with particular attention to energy constraints
    • Development of embedded software for device management and resource optimization
    • Management of hardware-software integration and functional validation through rigorous testing
    • Support from prototyping phase to pre-series production
    • Development and execution of a comprehensive testing strategy, including validation plans and execution cases
    • Writing technical project documentation: design files, manuals, and reports
    • Interdisciplinary collaboration with hardware, software, mechanical, and project teams
    • Technological watch for the integration and management of key components
    IT Project Management STM32 IT Strategy PCB C/C++
  • Laboratoire LITIS
    Embedded Systems Intern
    MEDICAL
    February 2022 - May 2022 (3 months)
    Rouen, France
    • Development of a connected medical monitoring system, from sensor to web interface
    • Development of firmware in C/C++ on Arduino microcontrollers for data acquisition
    • Setup of serial communication and a NodeJS server on a Raspberry Pi board
    • Creation of a web application for real-time visualization of medical data
    Python Raspberry Pi Arduino C/C++ Linux

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Education

  • Master in Microelectronic Systems
    University of Strasbourg
    2024
  • Bachelor's Degree in Industrial Computing
    University of Rouen
    2022

Certifications

Skill set

Categories

  • Other