September 27, 2025
Quest to Solvin Case Study
Building an AI-driven interactive storytelling prototype with dynamic NPC generation and quest mechanics.
Read case study →Jose Fernando Gonzales
AI Developer · Agentic Systems Engineer
I build agentic AI systems and LLM-powered applications — backed by deep FinTech expertise and a decade of turning business problems into production-ready technical solutions.
portfolio.py
from langgraph import StateGraph
from google import adk
def build_agent():
return
All notes →
"employer": "JPMorganChase",
"stack": ["LangGraph", "Google ADK"],
"focus": "agentic_systems",
Python
LangGraph
Google ADK
🏦
JPMC
Enterprise AI in Production
Building agentic AI systems at JPMorganChase using LangChain, LangGraph, and Google ADK
💼
10 yrs
FinTech & Systems Foundation
Deep experience in payment systems, solution design, and bridging business needs with technical implementations
🤖
Agentic
AI Architecture Focus
Multi-agent orchestration, RAG systems, and LLM-powered workflows — from design to production
Featured Projects
Personal and open-source projects that showcase end-to-end AI delivery. My professional agentic systems work at JPMorganChase lives behind the firewall.
Diabetic Readmission Prediction
Recall-optimised ML system to flag high-risk diabetic patients for discharge intervention — with SHAP explainability, fairness audit, and production API deployment
AIM x Emeritus capstone: end-to-end ML from raw clinical data to FastAPI + Streamlit deployment with LLM explanation chatbot
Python scikit-learn XGBoost SHAP FastAPI Streamlit LangChain Docker
RAG on Me (Resume Chatbot)
Intelligent resume assistant with RAG, guardrails, and source attribution for recruiters
Enables natural language querying of professional experience with accurate, contextual responses
Python LangChain Vector Databases RAG FastAPI
Quest to Solvin (RPG Chatbot)
AI-powered RPG chatbot with dynamic storytelling and context-aware responses
Showcases advanced prompt engineering and conversational AI design for engaging user experiences
Python OpenAI API Context Management NLP
Customer Churn Prediction API
Production-ready ML pipeline with RESTful API for business decision making
Demonstrates end-to-end ML deployment from business problem to actionable API service
Python Scikit-learn FastAPI Docker ML Pipeline
Gentleman's POS
Modular Python web application for dual-service business operations (carwash & restaurant)
Reduced transaction processing time by 60% across 2 businesses with real-world deployment
Python Flask SQLModel Docker ESC/POS Printers
How I Work
How I go from messy problem to working system
1
🎯
Understand
Define the real problem, success metrics, and constraints
2
🔨
Build
Develop. Focusing on practical business value
3
📦
Ship
Deploy, measure impact, plan next steps
This systematic approach ensures every project delivers measurable business value while maintaining technical excellence.
See This Process in Action →Latest Notes
Thoughts on AI, ML, and software engineering
September 27, 2025
RAG-on-Me Case Study
A minimal RAG system that turns my resume into an interactive chatbot for recruiters.
Read case study →
September 27, 2025
Customer Churn Predictor API
End-to-end ML deployment: from data preprocessing to production API with Docker.
Read case study →Open to AI Agent Engineer roles — let's talk
I'm open to select AI Agent Engineer roles where agentic systems, FinTech depth, and production AI experience are a strong fit.
Get in Touch