I help businesses build intelligent software — from AI-powered applications and computer vision systems to scalable backends and data pipelines. Whether you need a custom ML model, a RAG-powered knowledge base, or a reliable API, I engineer solutions that work in production.
I turn research-flavored problems into boring software that runs in production. Remote-first, clear communication, shipping mentality.
I'm Nicola, an Italian AI Engineer and freelance consultant running nicode. since 2019. I hold a BSc in Data Science & AI from Maastricht University and have 9+ years of experience across AI/ML engineering and backend development.
I work with businesses to build AI-powered applications, computer vision systems, and scalable backend infrastructure — turning complex technical challenges into reliable, production-grade solutions.
Four disciplines that combine on most engagements — from shipping scalable backends to training production ML models.
Intelligent systems built with foundation models, custom pipelines, and RAG architectures — turned into software that holds up in production.
Scalable backends, APIs, and infrastructure that power modern applications — with clear architecture and honest performance budgets.
Extracting actionable insight from images and video — object detection, document processing, and custom deep-learning models.
Pipelines and tooling that turn raw, messy data into reliable inputs — plus the dashboards that make it useful to humans.
From NLP research in Brighton to digital-twin RAG systems today — a consistent thread of shipping AI and backend software for real clients.
ML models for home-automation energy prediction, a YOLO-based computer vision system for waste detection, and a RAG application inside a digital-twin solution for buildings.
Scalable backend systems across Sportit's portfolio of sports and travel platforms — REST & GraphQL APIs, payment integrations, background task processing, and a modular email pipeline.
Backend architecture for a material certification platform tracing steel supply-chain data on private Ethereum. Performance work on data-intensive operations and team management of junior devs.
Backend features for a conversational AI platform powering virtual assistants and chatbots for enterprise clients. REST APIs and ETL pipelines for multi-source data integration.
A blockchain-based informed-consent system for medical research, automating consent management for clinical trials. Fullstack development across multiple modules.
NLP models that automatically generate multiple-choice and fill-in-the-blank questions from documents, served via Node.js backend services for an e-learning platform.
A mix of client work, independent experiments, and academic research — each one touching real data or real hardware.
Let's talk about how I can help your business grow.