Architecture study
- 01Scope & evidence
- 02Typed tools
- 03Reassess & replay
WaveAI — Renewable Energy Copilot
A bounded agentic copilot that investigates operational questions with evidence, explicit authority, and replayable runs.
Read case studyAgentic AI · Energy systems · Technical leadership
Complex data.
Clear thinking.
Useful AI.
I’m Giuseppe, an AI & Tech Solutions Lead building agentic systems for energy operations. From typed tools and MCP to evaluation and human approval, I connect production AI with the engineers, operators, and decisions it serves.
From signal to decision
Oil & Gas · Wind · Solar · Battery storage
Operational signals → Evidence & priorities → AI investigation → Human review
Conceptual illustration · Decisions stay with people
Giuseppe Carte GranilloGuadalajara, Mexico
100K+
Assets per customer informing fleet prioritization
12 GW+
Installed capacity across accounts I owned delivery for
Millions
Sensor readings processed daily for operational analytics
01 / Selected work
Three products. One connected system.
Prioritize what matters. Investigate with evidence. Deliver through reviewable tooling. My AI work connects all three—while keeping authority and consequential decisions with people.
Architecture study
- 01Full event backlog
- 02Traceable ranking
- 03WaveAI investigation
Smart Summary & Priority Tracker
An explainable daily agenda for teams operating fleets of 100K+ assets per customer.
Read case studyArchitecture study
- 01Canonical spec
- 02Check & simulate
- 03Apply & verify
MCP-first Onboarding & Delivery
A reusable, reviewable workflow connecting client specifications, analytics logic, and supported delivery operations.
Read case study02 / Experience & leadership
Technical depth.
A wider perspective.
From applied mathematics to industrial data and AI leadership. I connect the architecture, the team, and the business problem.
Full experience & résuméThe foundation
Applied mathematics.
Optimization, probability, statistics, and graph theory — a foundation for understanding models, not just using them.
Education & qualifications →Professional certifications →Sep 2025 — Present
AI & Tech Solutions Lead
Narrativewave
Own AI strategy, architecture, and delivery across three connected products: an agentic copilot, fleet prioritization, and MCP-first onboarding.
Sep 2023 — Sep 2025
Data Scientist II
Narrativewave
Built the company's sellable analytics packages and owned enterprise delivery across 12 GW+ of installed capacity, bridging customers, Product, and engineering.
Feb 2022 — Sep 2023
Data Scientist I
Narrativewave
Owned end-to-end delivery for three customer accounts, primarily Oil & Gas: asset onboarding, signal mapping, data validation, predictive models, and field feedback.
Nov 2020 — Feb 2022
Quantitative Developer
Crypto Trading Bots · Independent project
An independent project connecting applied mathematics to automated trading: ML signals, backtesting, and risk management.
Mar 2021 — Jan 2022
Data Scientist Intern
National Institute of Genomic Medicine (INMEGEN)
Applied machine learning and statistical modeling to genomic data, building a foundation in complex scientific datasets.
03 / Beyond the day job
Built for curiosity.
Not every project starts with a brief.
Sometimes, I just want to see it exist.
Personal project · Open source
they-work
A pixel-art office for the AI coding agents running on your machine.
Projects become floors. Conversations become coworkers. Under the tiny desks: Rust, local-first integration, and deliberate boundaries between watching work and controlling it.
Development preview · not a published release
04 / Knowledge, applied
Expertise you can trace.
AI that reaches production
Bounded agents, typed tools, human approval, and durable replay. Engineering the boundaries that make AI useful in production.
See the AI systems work →Explainable operational priorities
Deterministic ranking and model-guided investigation, connecting fleet-scale evidence to the work each team needs to do next.
See fleet prioritization →MCP & delivery tooling
Canonical specifications, explicit blockers, simulation, and persisted operations. Making AI-assisted delivery reviewable and reusable.
See the MCP workflow →Technical leadership
Own the roadmap, mentor engineers, and bridge discovery, product development, pre-sales, and executive reviews.
See leadership experience →Building your team?
Explore my experience leading AI initiatives, working with clients, and mentoring engineers.
Explore my experience ↗Building something new?
Let’s talk about your data, your users, and where AI could make a measurable difference.
Discuss a project ↗