Switzerland

Data Scientist

Data Analysis

Florida State University

Embry-Riddle University

Jose Lazo-Flores

Founder & Senior AI Consultant

Senior AI Consultant · Workshop Facilitator · LLM Systems

Problem-solving

Analytical skills

Advanced data analytics

AI/ML

Business intelligence

Chatbot

Data visualisation

Pandas

Python

PyTorch

Tableau

Apache Spark

ChatGPT

GitHub

Matplotlib

Numpy

Cursor

I run an independent AI consulting practice focused on helping SMBs and financial-services teams move AI from proof-of-concept into daily use. My work spans three areas: designing production LLM systems and multi-agent architectures, building custom AI tools, and running corporate AI workshops for non-technical business teams. Recent builds include a RAG-based digital-twin platform (Augself.ai), a multi-agent system that generates tailored sales material in under a minute (EnableMate.ai), and an autonomous trading system that scans roughly 800 stocks daily through five specialized analyst agents and a manager agent. I also designed a five-module corporate AI training curriculum built around my own 5 P’s of Prompting framework. My stack centers on Python, LangGraph, MCP, RAG pipelines, vector databases, and AWS.


I led data science work on the bank’s holistic risk management framework, building production analytics pipelines across trade surveillance, regulatory compliance, and cybersecurity on Palantir Foundry. The work ran at enterprise scale across global trading desks and regulator-facing workflows. My signature project was the end-to-end implementation of the firm’s holistic risk metric, which I took from proof-of-concept through to production rollout. Day to day I worked in Python, PySpark, Pandas, SQL, and SKLearn, with reporting in Tableau.


I co-founded an AI-powered professional networking platform and led its technical development from the ground up. I designed and built the full machine-learning stack, including a recommendation system in Python and SKLearn, and a graph-database backend on Neo4j with MySQL for transactional data. I also owned the AWS production environment end to end, provisioning and maintaining it with Terraform. This was my first move from individual contributor into a founder and technical-leadership role.


As a consulting data scientist, I delivered projects across a wide range of industries, including healthcare, energy, insurance, transportation, telecommunications, and banking. I built production data pipelines, business-intelligence platforms, and analytics for enterprise clients, and automated ETL workflows across MSSQL, PostgreSQL, and Oracle. The breadth of sectors taught me how to ramp quickly on an unfamiliar domain and turn messy business problems into working data products.


I conducted particle-physics research as part of the CMS collaboration at CERN, where I commissioned and maintained detector systems and ran physics analysis on collision data. Alongside the research, I advised and supervised students, which is where I first developed the teaching-and-mentoring habit that runs through my work today. This period also grounded the scientific rigor I still bring to every data and AI assessment.

Jose Lazo-Flores🇨🇭

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