System study
01Domain knowledge02Grounded retrieval03Useful answers
Energy RAG Copilot
Architected production RAG systems for enterprise chat applications, enabling natural language queries over complex energy datasets.
Read case studyApplied AI · Engineering · Leadership
Complex data.
Clear thinking.
Useful AI.
I’m Giuseppe, an AI & Tech Solutions Lead with a background in applied mathematics. I build production AI, machine learning, and data systems for energy and finance — connecting technical decisions to the people and operations they serve.
System study
01Domain knowledge02Grounded retrieval03Useful answers
Alfonso Giuseppe Carte GranilloGuadalajara, Mexico
100K+
Monthly queries across enterprise RAG systems
60%
Reduction in client analysis time through agent automation
8+
ML projects led from research to production across energy assets
01 / Selected work
Built for the real world.
System study
01Asset telemetry02Predictive models03Operational insight
Renewable Asset Optimization
Led ML projects across BESS, Solar, Wind, and Oil & Gas, including predictive maintenance, degradation control, anomaly detection, and asset optimization.
Read case studySystem study
01Industrial sources02Reliable pipelines03Analytics-ready data
Energy Sensor Data Pipelines
Engineered scalable data pipelines integrating Snowflake, Pi Vision, and Canary APIs while handling millions of sensor readings daily.
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
Lead AI strategy and delivery: production RAG, agent orchestration, and conversational tools. Translate client needs into a technical roadmap and mentor engineers through implementation.
Feb 2022 — Sep 2025
Data Scientist II / Data Engineer
Narrativewave
Took 8+ ML projects from research to production across renewable and industrial energy assets, with the sensor pipelines, monitoring, and dashboards needed to make models useful.
Nov 2020 — Feb 2022
Quantitative Developer
Crypto Trading Bots · Independent project
An independent project connecting applied mathematics to live systems: market-data processing, ML-based strategies, and automated execution using Python and the Binance API.
Mar 2021 — Jan 2022
Data Scientist Intern
National Institute of Genomic Medicine
Applied machine learning and statistical modeling to genomic data, exploring biological patterns and building a foundation in working with 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
RAG, conversational interfaces, and agent workflows that connect domain knowledge to everyday decisions.
See the AI systems work →Applied machine learning
Predictive maintenance, anomaly detection, and asset optimization — grounded in mathematics and the realities of energy operations.
See applied ML in practice →Reliable data foundations
Sensor ingestion, data integration, and production pipelines that connect raw operational data to models and monitoring.
See the data engineering →Technical leadership
Translate business needs into a technical roadmap, guide implementation, and help teams build with confidence.
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 ↗