DDS
Software Architecture · AI · Data Systems

I design the futureand tailor it to youand your business.

One of the few in Italy building tailor-made AI solutions this intensively.

AI Automation Specialist @ ConioPolitecnico di MilanoData, EdTech, Fintech
20years old · started in high school, in production today

My trajectory, one stop at a time.

  1. Liceo Scientifico Albert EinsteinEducation
  2. Politecnico di Milano
  3. Independent study in computer scienceEducation
  4. Retail trading and macroeconomic studiesEducation
  5. Premio Di NicolaRecognition
  6. Conio
  7. Locanda CamillaProfessional experience

I design architectures, not slide decks: systems that hold in production, learn from data, and get measured in uptime — not in promises.

Software architectureArtificial intelligenceData— not in theory: in production.

Case Studies

Four systems, four industries.

Challenge → Approach → Result. Real numbers, not adjectives.

Data Engineering & AI01 / 04

AI-augmented analytics at document scale

I turn data into decisions.

Real data from the entity store

over 2 million

Total documents

Challenge

  • Millions of documents scattered across dozens of indices
  • No unified schema catalog
  • No way to ask for a metric in natural language and get a reliable answer
Clusters · cohorts
Activities
1.5M+
Registered users
350K
Real-time indices
60+

Illustrative: clusters and cohorts, not real point-level data.

Approach

Collection and filtering pipelineClusteringCohort analysisAI-driven reprocessingElasticsearch/KibanaQdrant — vector/RAG layerRedis
Drag or use the arrows

Method

A process, not an improvisation.

The deck01 / 04
01Phase 01/04

Discovery

Before a single line of code, we understand the real problem — not just the brief that landed in an inbox. Interviews, analysis of existing data, technical and business constraints laid out together.

  • Interviews
  • Data audit
  • Constraints
01
01 / 04 — Discovery

Services & Pricing

Three ways to work together.

Not a price list. A starting point to see if the project is in the right range — then we talk.

Data & AI Systems

For companies sitting on large volumes of data — transactional, behavioral, documental — that can't yet query it, cross-reference it, or have it decide anything on its own. I build the layer missing between "the data exists" and "the data works": schema catalogs, pipelines, natural-language query layers.

Investment

Custompriced after a scoping call

  • Technical discovery on existing data
  • Pipeline design & schema catalog
  • Dashboard and NL query layer
  • Documented handoff, no lock-in

Fintech / Data Products

For wealth management, financial services, and anyone operating regulated systems, where an architecture mistake costs more than a delay. Every component — scoring, signals, decision engines — is built with a full audit trail and a clean separation between deterministic and probabilistic logic.

Investment

Custom quoteregulated systems

  • Layered architecture with full audit trail
  • Multi-source ingestion & normalization
  • Dedicated scoring/signal engines
  • Validation & reporting for internal compliance

Custom Solutions

For SMBs and individual clients who need a custom site, tool, or system — without the overhead of an enterprise agency, but with the same discipline on performance, SEO, and maintainability. Every project has a different scope: this isn't the Fintech card, and the pricing reflects that.

Investment

Custom quote

  • Case-by-case analysis
  • Custom development, performance/SEO focus
  • No reskinned templates
  • Agreed post-launch support

Trajectory

Two tracks, not two phases.

Development and AI started in high school. Client work, my own company, the Politecnico — today they run in parallel.

Academic trackProfessional track

One colour for both: they run together, not one after the other.

High school
Scientific High Schoolwhere dev and AI started
First dev/AI projectssince high school
National honorable mention at the Problem Solving Olympiad, 2022.
Registered AIA/FIGC football referee since 2022 — a parallel activity, not mentioned elsewhere on the site.
Building
Winning team (University of L'Aquila) at the Italian Informatics Olympics, 2023 edition.
Thesis ranked among the best of 150+ competing teams at the Romanae Disputationes philosophy competition, 2023 edition.
Years as an independentfirst clients, first systems in production
Winning team (University of L'Aquila) at the Italian Informatics Olympics, 2024 edition — second consecutive year.
Cambridge English (B2/C1 level) and Goldsmiths, University of London (C1).
Founded my own company
Short executive business program, Concordia University (Los Angeles).
Today
Politecnico di Milano — Computer Engineeringfirst year completed · 28.57/30 average · 60 credits
AI Automation Specialist @ Coniotoday, in parallel

I'm 20. I started writing code and working with AI in high school; today I study Computer Engineering at the Politecnico, work as an AI Automation Specialist at a fintech, and run my own company. It's not a linear path — I've been several things at once, for years. What makes me different isn't one line on this timeline: it's holding software architecture, AI, and data management together, every day — in a client's codebase, in a lecture hall, and in my own company.

Writing

Pick a book to open its card.

Contact

Let's talk about your project.

Tell me what you need to build. I reply within 24-48h, in person — not an automated form.

I reply within 24-48h. No newsletter, no unsolicited follow-up.

Or, more direct

Email me directlydds@businessinquires.com
Call me+39 329 423 0076WhatsApp
Book a 20-minute callComing soon

Also here

LinkedIn@davidedesanctiis

Same process I used to deliver the projects above — 4 steps, no surprises.

Under the hood

How this site is built.

No template, no page builder. I wrote it line by line with the same rigor I bring to client work: a few well-chosen dependencies, hand-written shaders, and a performance budget that isn't up for negotiation.

Hand-built · IT / EN

  1. 01

    Foundation

    App Router with server-first rendering: JavaScript ships only where there is real interaction. TypeScript in strict mode, from copy to chart data.

    • Next.js 16
    • React 19
    • TypeScript
  2. 02

    Design system

    Palette, fluid type scale, glass and glow defined once as CSS tokens. Four font families served by the site itself.

    • Tailwind CSS v4
    • CSS tokens
    • next/font
  3. 03

    Motion

    Scroll-bound reveals, physical springs on every touchable surface, inertial scrolling synced to a single ticker.

    • GSAP
    • ScrollTrigger
    • Framer Motion
    • Lenis
  4. 04

    WebGL & shaders

    Hand-written GLSL: the hero's glyph explosion and the node graph baked from JWST's Pillars of Creation image, the background particle field, the manifesto's rift of light.

    • React Three Fiber
    • three.js
    • GLSL
  5. 05

    Bilingual & respectful

    Italian and English with per-locale routing. No third-party fonts or scripts; first-party analytics on PostgreSQL, cookieless until you consent.

    • next-intl
    • PostgreSQL
    • First-party
  6. 06

    Discipline

    WebGL pauses off-screen and on hidden tabs, pixel density is capped, and with reduced motion on every effect has a static fallback.

    • IntersectionObserver
    • dpr ≤ 1.5
    • prefers-reduced-motion