Resume

Alfonso Giuseppe Carte Granillo

AI & Tech Solutions Lead

AI & Tech Solutions Lead building production ML systems and modern LLM applications. Currently leading AI initiatives, specializing in conversational AI, RAG pipelines, and agentic systems. Experience deploying scalable ML solutions across energy and finance, with expertise in predictive maintenance, asset optimization, and anomaly detection.

Key achievements

Deployed production RAG systems processing 100K+ queries monthly for enterprise chat applications.

Reduced client data analysis time by 60% through LLM agent automation.

Led 8+ end-to-end ML projects from research to production deployment across BESS, Solar, Wind, and Oil & Gas.

Built scalable data pipelines handling millions of sensor readings daily with optimized analytics for asset performance.

Experience

AI & Tech Solutions Lead

Narrativewave · Guadalajara, Mexico

Sep 2025 - Present

Lead AI strategy and delivery: production RAG, agent orchestration, and conversational tools. Translate client needs into a technical roadmap and mentor engineers through implementation.

Contributions & outcomes

Architected and deployed production RAG systems for enterprise chat applications, enabling natural language queries over complex energy datasets.
Developed LLM-powered agents for automated data analysis and insights generation, reducing analysis time by 60%.
Implemented multi-agent systems for intelligent task routing and orchestration across renewable energy workflows.
Built conversational interfaces with Claude, GPT-4, and Gemini, integrating domain-specific knowledge bases.
Lead AI strategy and technical roadmap for the energy analytics platform, driving adoption of reliable LLM systems.
Conduct weekly technical meetings with 3+ clients, translating complex business requirements into practical AI systems.
Mentor junior team members on ML best practices, prompt engineering, and modern AI architectures.

Tools in practice

RAG
LLM Agents
Conversational AI
Vector Databases
LangChain
LlamaIndex
Claude
GPT-4
Gemini

Data Scientist II / Data Engineer

Narrativewave · Guadalajara, Mexico

Feb 2022 - Sep 2025

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.

Contributions & outcomes

Led 8+ ML projects across BESS, Solar, Wind, and Oil & Gas, including predictive maintenance, anomaly detection, and asset optimization.
Developed degradation control models, under-performance analysis, and market participation strategies for energy trading optimization.
Deployed production models serving 3+ enterprise clients with real-time monitoring and alerting systems.
Engineered scalable data pipelines integrating Snowflake, Pi Vision, and Canary APIs while handling millions of sensor readings daily.
Created interactive dashboards and visualization tools for real-time KPI monitoring and performance tracking.
Created comprehensive asset optimization analyses to improve performance efficiency across Solar, Wind, BESS, and Oil & Gas operations.
Developed anomaly detection systems and market participation strategies for energy trading optimization.

Tools in practice

Python
Snowflake
Databricks
Apache Spark
Pi Vision
Canary APIs
PyTorch
TensorFlow
Scikit-Learn
AWS
Docker

Quantitative Developer

Crypto Trading Bots · Independent project · Mexico City

Nov 2020 - Feb 2022

An independent project connecting applied mathematics to live systems: market-data processing, ML-based strategies, and automated execution using Python and the Binance API.

Contributions & outcomes

Built and deployed an automated cryptocurrency trading system using the Binance API and ML-based trading strategies.
Implemented real-time data processing and algorithmic trading workflows with Python, Pandas, NumPy, Numba, and AWS.

Tools in practice

Python
Binance API
Pandas
NumPy
Numba
AWS

Data Scientist Intern

National Institute of Genomic Medicine · Mexico City

Mar 2021 - Jan 2022

Applied machine learning and statistical modeling to genomic data, exploring biological patterns and building a foundation in working with complex scientific datasets.

Contributions & outcomes

Applied machine learning techniques to genomic data analysis and developed statistical models for biological pattern recognition.

Tools in practice

Python
Machine Learning
Statistical Modeling
Genomic Data Analysis

Education

Bachelor's Degree in Applied Mathematics

Universidad Autonoma Metropolitana

Sep 2016 - Dec 2021

Relevant coursework: Optimization Theory, Probability & Statistics, Graph Theory, Linear Algebra, PDEs. Programming: Python, C, C++, Wolfram Mathematica.

Skills

Languages & software

Python (Expert)
SQL
Haskell
REST APIs
Microservices
C
C++
Wolfram Mathematica

AI & machine learning

RAG
LLM Agents
Conversational AI
Prompt Engineering
Vector Databases
LangChain
LlamaIndex
PyTorch
TensorFlow
Scikit-Learn
Transformers
Neural Networks
Predictive Models
Django
FastAPI

Data & infrastructure

AWS EC2
AWS S3
AWS Lambda
Docker
CI/CD
Model Deployment
Production Systems
Snowflake
Databricks
Apache Spark
ETL Pipelines
Data Integration

Human languages: Spanish (Native), English (Fluent), Italian (Professional)

Certifications

Meta Back-End Developer Professional Certificate

Meta/Coursera · 2024

Deep Learning Specialization

DeepLearning.ai · 2020

Software Engineering for Data Scientists

DataCamp · 2022

Selected projects

Energy RAG Copilot

Architected production RAG systems for enterprise chat applications, enabling natural language queries over complex energy datasets.

Renewable Asset Optimization

Led ML projects across BESS, Solar, Wind, and Oil & Gas, including predictive maintenance, degradation control, anomaly detection, and asset optimization.

Energy Sensor Data Pipelines

Engineered scalable data pipelines integrating Snowflake, Pi Vision, and Canary APIs while handling millions of sensor readings daily.