Hello, World! I am

Isaac Gonzales

Machine Learning & AI Engineer

I build production-ready GenAI systems. Specializing in LLMs, Computer Vision, Autonomous Agents, and RAG architectures that solve real-world problems.

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Engineering Philosophy

My approach to building AI systems, focused on reliability, autonomy, and security.

Production-First GenAI

Moving beyond notebooks to robust systems. I implement comprehensive evaluations (DeepEval), CI/CD pipelines, and observability monitoring to ensure reliable AI performance in production.

Agentic Workflows & MCP

Designing intelligent agents that take action. Leveraging LangGraph and the Model Context Protocol (MCP) to create interoperable tools that connect LLMs securely to enterprise data and APIs.

Scalable APIs & Security

Building high-performance APIs (REST/FastAPI) that serve as the backbone for AI systems. I prioritize data privacy, PII protection, and efficient scaling using Docker and modern cloud infrastructure.

Featured Projects

Production-ready systems demonstrating expertise in GenAI, Full-Stack Engineering, and Cloud Architecture.

Financial AI Agents Platform

Orchestration of autonomous agents using LangChain to automate financial statement analysis (Balance Sheet & P&L). Features a QA agent for validation, prompt engineering optimization, and full traceability via LangChain Tracing.

PythonLangChainFastAPIReactDockerGCP

MLOps KPI Platform

Full-stack monitoring platform for tracking business KPIs. Includes dynamic dashboards, automated CSV/Excel data ingestion pipelines with validation, and role-based access control. Deployed on AWS.

ReactTailwindCSSFastAPIPostgreSQLAWSCI/CD

Real-Time OCR & Computer Vision

High-performance Optical Character Recognition (OCR) system for automated license plate recognition (ALPR). Engineered real-time inference pipelines using OpenCV and TensorFlow, deployed as scalable microservices on Google Cloud Platform.

OpenCVTensorFlowPyTorchGCPDockerFastAPI

RAG Incident Response Assistant

Advanced RAG system designed to reduce hallucinations in technical support. Integrates Vector DBs (FAISS/Qdrant) with LLMs to retrieve and synthesize incident response documentation with high precision.

LlamaIndexRAGVector DBOpenAIFastAPI

Enterprise Sales Management System

Scalable SaaS solution for multi-store management, invoicing, and digital document archiving. Built with a cloud-native architecture using Docker and Nginx, optimized for high availability on Google Cloud Platform.

FlaskPostgreSQLDockerNginxGCP
Google PlayApp Store

Photo Album App

Gallery photos event app for photo organization and sharing. Features secure cloud storage and a high-performance diverse image rendering engine. Published on App Store and Play Store.

React NativeMobileiOSAndroid

Custom Dashboards & Web Solutions

Design and development of high-performance interactive dashboards and professional websites. Specialize in visualising complex data (KPIs, Financial, ML metrics) and building fast, SEO-optimized web applications.

Next.jsReactTailwindCSSAnalyticsUX/UI

Technical Arsenal

A comprehensive stack built over 6+ years of engineering, optimized for building scalable AI systems.

AI & Machine Learning

PythonPyTorchTensorFlowscikit-learnOpenCVComputer VisionLangChainLangGraphTransformersHugging FaceOllamaRAGLLMs

Backend & Systems

FastAPIFlaskDjangoPostgreSQLSupabaseVector DBsDockerMicroservices

Cloud & DevOps

Google Cloud (GCP)AWSCI/CDKubernetesLinuxMLOpsTerraform

Frontend & Mobile

ReactTypeScriptNext.jsTailwindCSSReact NativeJavaScript

About Me

I am a Full-Stack Engineer and AI Specialist with over 6 years of experience building complex systems. My journey has taken me from designing electronic systems to architecting cloud-native ML pipelines and now, pioneering Generative AI solutions.

I hold a Master's in Artificial Intelligence from EPITA (Paris) and a Master's in Engineering from USP (São Paulo). I previously worked at companies where I industrialized OCR models and deployed anomaly detection systems at scale.

Current Focus:

  • Advanced RAG: Hybrid search, re-ranking, and evals.
  • AI Agents: Multi-agent orchestration with LangGraph/LangChain.
  • Production AI: Latency optimization, caching, and cost monitoring.

Get In Touch

I'm currently open to new opportunities in GenAI and Machine Learning Engineering. Whether you have a question or just want to say hi, I'll try my best to get back to you!

isaacgonzalesv@gmail.comSend me an email