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Carlo Dalla QuerciaCD

Carlo Dalla Quercia

LLM Engineer

€750/day
Milan, IT
3-7 years

Average response time: 1 hour

About Carlo

I help companies design, build, and deploy production-ready LLM and AI systems — from agentic RAG pipelines to fine-tuned models — turning research-grade AI into tools your team actually uses.
With a background spanning data science, computer vision, and LLM engineering, I bring a rare end-to-end perspective: I can architect a Text-to-SQL or RAG agent with LangGraph, fine-tune an open-source model with LoRA/QLoRA, build the supporting data pipeline, and ship it on GCP with Docker and FastAPI.

What I typically deliver:

Agentic workflows (RAG, Text-to-SQL, multi-agent systems) using LangGraph and LangChain
LLM fine-tuning, distillation, and evaluation pipelines for structured output
RAG systems with hybrid search and vector databases (Qdrant, Pinecone)
Custom AI products built from scratch to MVP (I've taken SaaS platforms from zero to paying customers)
Web scraping and data automation pipelines (Selenium, Scrapy)

I also train AI professionals: I've delivered Generative AI bootcamps and advanced labs in the Middle East — so I bring strong communication and documentation skills to every project, not just code.
If you need someone who can go from "we have an idea" to "it's running in production," let's talk.
  • Italian

    Native or bilingual

  • English

    Native or bilingual

  • French

    Fluent

  • Spanish

    Fluent

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

Experience

  • WeCloudData
    Instructor
    EDUCATION AND E-LEARNING
    December 2023 - Today (2 years and 7 months)
    Toronto, ON, Canada
    • Training & Technical Implementation: AI adoption TII Abu Dhabi; Generative AI bootcamp for post-graduate students at Riyadh.
    • Curriculum Development: Built and taught labs on Transformers, PyTorch, RLHF, Model Merging, and Sequence Models
    • RAG & Fine-tuning: Developed end-to-end modules for Advanced RAG (Hybrid Search, Vector DBs) and LLM distillation
    Pytorch AI Trainer Deep Learning LLM Langchain
  • AR Solutions
    Data Science and AR
    DIGITAL AND IT
    September 2021 - Today (4 years and 10 months)
    Milan, Metropolitan City of Milan, Italy
    • EdTech (Verona, 2024): Developed a SaaS agentic platform for Italian schools from scratch; acquired 3 paying customers.
    • Industrial AI (Milan, 2024): Deployed a RAG-based Voice Assistant for machine operators on 2 assembly lines in manufacturing.
    • Spatial Computing (Milan, 2022): Developed an Augmented Reality app with a custom backend and authentication using Unity AR.
    • FinTech (Singapore, 2022): Built a voicebot for insurance telemarketing utilizing AI intent prediction.
    AI Trainer Pytorch Unity 3D FastAPI Google cloud
  • HP Inc.
    Data Scientist
    TECH
    August 2019 - August 2021 (2 years)
    Singapore
    • Process Optimization: Reduced machine calibration time by 30% using Random Forests for parameter optimization.
    • Root-Cause Analysis: Utilized Bayesian Networks and Decision Trees to identify defects in assembly lines.
    • Computer Vision: Automated manual object counting using OpenCV and YOLO for real-time object detection.
    • Data Engineering: Built automated telemetry dashboards in PowerBI and data pipelines from Vertica/SQL.
    SQL Python Scikit-learn PowerBI UI Web Design

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Education

  • GMAT 710/800
    GMAT 710/800
  • Master Data Sciences & Business Analytics
    ESSEC
    Master Data Sciences & Business Analytics

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