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Hugo DupuyHD

Hugo Dupuy

AI Engineer | LLM & Agent Automation

€520/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Hugo

I design and deploy LLM automation systems and AI agents on VPS for French companies. Based in China, I have direct access to the most advanced Chinese AI models (Deepseek, Qwen, Baidu) – I test and integrate them even before they reach the European market.

Results for you

→ 40 to 70% time saved on repetitive tasks (email sorting, reporting, document extraction)

→ RAG chatbots that actually answer from your internal documents (Notion, Confluence, SharePoint)

→ AI-driven competitive intelligence – daily monitoring of competitors, prices, technological trends

→ Profitability: Chinese models offer GPT-4 level performance for 1/10th of the inference cost. These open-source models can be deployed on your local infrastructure for optimal data control.

My process for your first mission

→ Free 30-min audit: I identify your quick win with the highest ROI (test with your data, no commitment).

→ Then, fixed-price pilot or first sprint.

Services

Custom AI agents for repetitive workflows (HR, finance, support, sales)

RAG pipelines on internal documentation

Automated data processing (PDF, HTML, images → structured JSON)

Crawlers for competitive intelligence + LLM summarization

LLM deployment on your VPS (secure, GDPR compliant where possible)

Why me?

5+ years of ML engineering experience + 2 years dedicated to LLM agents

Direct API access and local deployment to Deepseek, Qwen, Baidu, Zhipu

I speak French (professional fluent) and English: smooth remote collaboration
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • 灵悟智能
    LLM Agent Engineer @ 灵悟智能 (Língwù Zhìnéng – "Lingwu Intelligence")
    January 2026 - April 2026 (3 months)
    Email-automation agent : Fine-tuned Qwen-1.8B (tiny, fast) on 800 customer service email threads (Chinese → French/English). Deployed on a Tencent Cloud VPS with Docker. Agent classified intent, extracted order numbers, and drafted replies. 82% of emails handled without human review.

    Competitive pricing crawler + LLM summariser : Scraped 6 competitor Tmall shops daily, used Baidu ERNIE 4.0 to extract promotional tactics (coupons, bundling, flash sales). Delivered a one-paragraph WhatsApp summary each morning to the founder.

    RAG for product descriptions : Ingested 3,000+ product specs and user reviews. Sales team could ask “What’s the most common complaint about our blue teapot?” → answer in 2 seconds.

    Tech stack
    Python, Qwen-1.8B (LoRA fine-tune), Baidu ERNIE 4.0, LangGraph, ChromaDB, Tencent Cloud VPS, Docker, WhatsApp Business API

    Key results

    15h/week saved for customer support (only 1 person handles it now)

    Startup acquired 3 paying clients within 4 months using my agents as their core product
    Data Scientist LLM Artificial Intelligence Python Cloud Computing
  • 言图科技 (Yántú Technology - "WordGraph AI")
    AI Engineer @ 言图科技 (Yántú Technology - "WordGraph AI")
    April 2025 - May 2026 (1 year and 1 month)
    Agent for contract-to-JSON : Used Deepseek-R1 + custom parser to extract 25+ fields (parties, dates, amounts, renewal clauses) from 1,500+ PDF contracts. Accuracy 96% → saved 20h/month for the legal assistant.

    RAG over internal Slack + docs : Deployed Qwen-7B on a €15/mo Alibaba Cloud VPS. Connected to their 40k Slack messages and 200 Google Docs. Sales team could ask “Which client asked about X feature?” → answer in 5 seconds.

    Chinese model benchmark : Compared Deepseek, Qwen, Baidu ERNIE, and Zhipu ChatGLM for speed/cost on their specific tasks. Convinced them to switch from GPT-3.5 → reduced monthly LLM cost from 120to120to12.

    Tech stack
    Python, Deepseek-R1, Qwen-7B, Baidu ERNIE, LangChain, ChromaDB, Alibaba Cloud VPS (ECS)

    Key result
    Startup went from 0 automation → 70% of repetitive document tasks handled by AI in 6 months
    Artificial Intelligence Data Scientist LLM
  • TC build (Software Editor)
    Full Stack Developer @ TC build (Software Editor)
    SOFTWARE PUBLISHING
    January 2021 - May 2026 (5 years and 4 months)
    Mission
    Designed and maintained two core SaaS products:

    Panoptès : administrative management tool for internal business processes

    Website analysis & optimization tool for SMBs (SEO, performance, UX)

    Key achievements
    1. Panoptès – administrative management tool

    Built full-stack architecture (React + Node.js + PostgreSQL) handling +200 daily active users

    Automated recurring admin tasks (report generation, user onboarding, permission workflows) → saved 15h/month for back-office teams

    Reduced average page load time from 3.2s to 1.1s via frontend optimizations and DB indexing

    2. Website analysis & optimization tool

    Developed crawler-based analyzer checking 15+ SEO/performance metrics (LCP, CLS, meta tags, mobile-friendliness)

    Processed over 10,000 website audits for 300+ business clients

    Integrated automated recommendations engine → 40% of clients implemented fixes within 7 days

    Tech stack
    React, TypeScript, Node.js, Express, PostgreSQL, Redis, Docker, AWS (EC2, S3)

    Business impact

    Retained 92% of B2B customers over 3 years (client satisfaction driven by feature velocity)

    Tool adoption grew from internal usage → sold as white-label solution to 3 external software editors
    Data Analysis Python Web Integration Amazon Web Services

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Education

  • Civil Engineering
    Ecole des Mines de Saint-Etienne
    2024

Skill set

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