Welcome to my profile! Looking for a Full Stack & AI Engineer who can build production-grade software and wire real AI into it — not just a demo? You're in the right place. I build full-stack applications and AI-driven systems that automate workflows, streamline operations, and turn ideas into scalable, market-ready products. Think of it as having a senior engineer who can own your product end-to-end: backend, frontend, cloud infrastructure, and the AI layer that makes it smart. I help startups and businesses ship practical software — SaaS platforms, AI agents, chatbots, workflow automation, and RAG-based applications — with the same rigor you'd expect from a core engineering hire, not a freelancer bolting on an API. ✅ What I Build Full-stack SaaS platforms and internal business tools, built from the ground up Multi-tenant architectures and cloud-native backend systems AI Agents that complete tasks, analyze information, and assist teams LLM-powered applications using OpenAI, Claude, and open-source models Retrieval-Augmented Generation (RAG) systems with vector databases AI workflow automation using n8n, Make, Zapier, and custom integrations Intelligent data pipelines and automation systems ✅ My Technical Expertise 🟢 Backend & Data ✓ Python, FastAPI ✓ Node.js, NestJS ✓ PostgreSQL, Redis, Supabase ✓ REST APIs and third-party integrations ✓ Multi-tenant system design ✓ Data processing pipelines 🟢 Frontend & Full-Stack ✓ React, Next.js, TypeScript ✓ Modern SaaS application development ✓ AI dashboards and business platforms 🟢 AI & Automation ✓ OpenAI API, Claude API, Llama models ✓ AI Agents & Multi-Agent Systems ✓ RAG pipelines, vector databases ✓ Prompt engineering ✓ AI workflow orchestration ✓ n8n, Make, Zapier automation 🟢 Cloud & Deployment ✓ AWS, Docker, Kubernetes ✓ Cloud-native architecture ✓ Scalable backend systems ✓ Production deployment and optimization ✅ Problems I Help Solve ✓ Products that need a single engineer who can own the full stack ✓ Manual business processes that waste time ✓ Teams overwhelmed by repetitive tasks ✓ Information trapped across multiple systems ✓ Customer support and sales processes that need automation ✓ AI ideas that need a reliable technical implementation ✓ Existing AI prototypes that need to become production systems ✅ Why Clients Work With Me I treat every project — full-stack or AI — as a software engineering problem, not an experiment. You get: ✓ Scalable architecture instead of a quick prototype ✓ Clean, maintainable code across the whole stack ✓ Reliable AI workflows designed for real usage ✓ Clear communication throughout development ✓ Solutions focused on business impact, not unnecessary complexity If you already have a clear vision, I can turn it into a fully functional product with precision and attention to detail. If you only have an idea, that's fine too — we can shape it into something practical together. Hope to hear you back. Regards, Gustavo

Gustavo Araujo

Welcome to my profile! Looking for a Full Stack & AI Engineer who can build production-grade software and wire real AI into it — not just a demo? You're in the right place. I build full-stack applications and AI-driven systems that automate workflows, streamline operations, and turn ideas into scalable, market-ready products. Think of it as having a senior engineer who can own your product end-to-end: backend, frontend, cloud infrastructure, and the AI layer that makes it smart. I help startups and businesses ship practical software — SaaS platforms, AI agents, chatbots, workflow automation, and RAG-based applications — with the same rigor you'd expect from a core engineering hire, not a freelancer bolting on an API. ✅ What I Build Full-stack SaaS platforms and internal business tools, built from the ground up Multi-tenant architectures and cloud-native backend systems AI Agents that complete tasks, analyze information, and assist teams LLM-powered applications using OpenAI, Claude, and open-source models Retrieval-Augmented Generation (RAG) systems with vector databases AI workflow automation using n8n, Make, Zapier, and custom integrations Intelligent data pipelines and automation systems ✅ My Technical Expertise 🟢 Backend & Data ✓ Python, FastAPI ✓ Node.js, NestJS ✓ PostgreSQL, Redis, Supabase ✓ REST APIs and third-party integrations ✓ Multi-tenant system design ✓ Data processing pipelines 🟢 Frontend & Full-Stack ✓ React, Next.js, TypeScript ✓ Modern SaaS application development ✓ AI dashboards and business platforms 🟢 AI & Automation ✓ OpenAI API, Claude API, Llama models ✓ AI Agents & Multi-Agent Systems ✓ RAG pipelines, vector databases ✓ Prompt engineering ✓ AI workflow orchestration ✓ n8n, Make, Zapier automation 🟢 Cloud & Deployment ✓ AWS, Docker, Kubernetes ✓ Cloud-native architecture ✓ Scalable backend systems ✓ Production deployment and optimization ✅ Problems I Help Solve ✓ Products that need a single engineer who can own the full stack ✓ Manual business processes that waste time ✓ Teams overwhelmed by repetitive tasks ✓ Information trapped across multiple systems ✓ Customer support and sales processes that need automation ✓ AI ideas that need a reliable technical implementation ✓ Existing AI prototypes that need to become production systems ✅ Why Clients Work With Me I treat every project — full-stack or AI — as a software engineering problem, not an experiment. You get: ✓ Scalable architecture instead of a quick prototype ✓ Clean, maintainable code across the whole stack ✓ Reliable AI workflows designed for real usage ✓ Clear communication throughout development ✓ Solutions focused on business impact, not unnecessary complexity If you already have a clear vision, I can turn it into a fully functional product with precision and attention to detail. If you only have an idea, that's fine too — we can shape it into something practical together. Hope to hear you back. Regards, Gustavo

Available to hire

Welcome to my profile!

Looking for a Full Stack & AI Engineer who can build production-grade software and wire real AI into it — not just a demo? You’re in the right place.

I build full-stack applications and AI-driven systems that automate workflows, streamline operations, and turn ideas into scalable, market-ready products. Think of it as having a senior engineer who can own your product end-to-end: backend, frontend, cloud infrastructure, and the AI layer that makes it smart.

I help startups and businesses ship practical software — SaaS platforms, AI agents, chatbots, workflow automation, and RAG-based applications — with the same rigor you’d expect from a core engineering hire, not a freelancer bolting on an API.

✅ What I Build

Full-stack SaaS platforms and internal business tools, built from the ground up
Multi-tenant architectures and cloud-native backend systems
AI Agents that complete tasks, analyze information, and assist teams
LLM-powered applications using OpenAI, Claude, and open-source models
Retrieval-Augmented Generation (RAG) systems with vector databases
AI workflow automation using n8n, Make, Zapier, and custom integrations
Intelligent data pipelines and automation systems

✅ My Technical Expertise

🟢 Backend & Data ✓ Python, FastAPI ✓ Node.js, NestJS ✓ PostgreSQL, Redis, Supabase ✓ REST APIs and third-party integrations ✓ Multi-tenant system design ✓ Data processing pipelines
🟢 Frontend & Full-Stack ✓ React, Next.js, TypeScript ✓ Modern SaaS application development ✓ AI dashboards and business platforms
🟢 AI & Automation ✓ OpenAI API, Claude API, Llama models ✓ AI Agents & Multi-Agent Systems ✓ RAG pipelines, vector databases ✓ Prompt engineering ✓ AI workflow orchestration ✓ n8n, Make, Zapier automation
🟢 Cloud & Deployment ✓ AWS, Docker, Kubernetes ✓ Cloud-native architecture ✓ Scalable backend systems ✓ Production deployment and optimization

✅ Problems I Help Solve ✓ Products that need a single engineer who can own the full stack ✓ Manual business processes that waste time ✓ Teams overwhelmed by repetitive tasks ✓ Information trapped across multiple systems ✓ Customer support and sales processes that need automation ✓ AI ideas that need a reliable technical implementation ✓ Existing AI prototypes that need to become production systems

✅ Why Clients Work With Me I treat every project — full-stack or AI — as a software engineering problem, not an experiment.

You get: ✓ Scalable architecture instead of a quick prototype ✓ Clean, maintainable code across the whole stack ✓ Reliable AI workflows designed for real usage ✓ Clear communication throughout development ✓ Solutions focused on business impact, not unnecessary complexity

If you already have a clear vision, I can turn it into a fully functional product with precision and attention to detail. If you only have an idea, that’s fine too — we can shape it into something practical together.

Hope to hear you back.

Regards,
Gustavo

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
Spanish; Castilian
Fluent
Portuguese
Fluent

Work Experience

Senior Software AI Engineer at Baitshook for Information Technology Co.
January 31, 2026 - Present
• Architected and built a high-performance content generation engine using Next.js and the OpenAI Batch API, enabling scalable, cost-effective generation of thousands of SEO-optimized product descriptions. • Engineered a dynamic Brand Voice Profile system using advanced few-shot prompting, allowing clients to maintain a consistent brand identity across all generated content. • Developed an automated SEO Scoring Module leveraging NLP techniques to analyze readability and keyword density, providing real-time optimization feedback to users. • Implemented seamless Shopify API integration, allowing clients to push generated descriptions directly to their product pages with a single click. • Deployed the application on Vercel and utilized BullMQ for robust, asynchronous batch processing. • Established automated testing pipelines using Playwright for Shopify E2E flows and implemented A/B testing frameworks for iterative improvement of description variations.
Senior Full Stack AI Engineer at Santoli Connected
February 1, 2022 - January 31, 2026
• Architected a sophisticated Retrieval-Augmented Generation (RAG) support assistant using Node.js, OpenAI, and Pinecone vector database to deliver contextually accurate responses to customer queries. • Implemented a Hybrid Search strategy combining BM25 and Dense Vector retrieval, boosting answer relevance and retrieval accuracy by 30%. • Built a Feedback Loop using LangSmith to continuously monitor user ratings and prompt performance, driving iterative improvements and reducing hallucinations. • Developed an Escalation System using rule-based triggers integrated with real-time sentiment analysis (via NLP) , automatically routing high-risk or negative interactions to human agents. • Led the development of a secure personal finance application using Next.js and Plaid, enabling real-time transaction syncing for thousands of users. • Built an Auto-Categorization engine using scikit-learn's Naive Bayes classifier, achieving 90% accuracy in classifying uncategorized transactions with minimal user intervention. • Implemented a proactive Budget Alert System using BullMQ and Twilio, sending SMS notifications to users when spending approaches 80% of their preset budget limits. • Utilized React Hook Form and Zod to create a robust and type-safe form validation layer across the application. • Architected a robust clinical workflow orchestration engine using Django and Vue 3, serving as the backbone for hospital care pathways. • Designed and implemented a state-machine system using django-fsm and Celery to manage complex patient state transitions (Intake → Triage → Treatment → Discharge). • Integrated a BPMN 2.0 modeler (Camunda) , empowering clinicians to design and modify custom care pathways without requiring engineering intervention. • Developed a critical Integration Layer using HL7 v2 (MLLP) to ingest laboratory results in real-time, automatically triggering appropriate clinical workflows. • Deployed and managed services on AWS ECS with robust monitoring via LangSmith and CloudWatch; scaled applications using Redis as a message broker for Celery's state transition tasks. • Deployed on Vercel and managed background sync jobs using BullMQ, processing 10,000+ transactions efficiently. • Automated RAG retrieval tests to measure precision and recall; used Playwright for comprehensive E2E testing of chat UI and complex Plaid OAuth flows. • Automated validation for CSV transaction imports and used k6 for performance testing to ensure system stability. • Authored pytest tests for state machine logic; implemented Playwright for BDD scenarios; executed performance tests to validate the system under 1,000 concurrent workflow instances.
AI Automation Developer at HUBBERS
February 1, 2020 - January 31, 2022
• Architected a HIPAA-compliant patient portal using Next.js and Firebase Auth, implementing MFA and robust session management to ensure secure patient access. • Implemented Row-Level Security (RLS) policies in PostgreSQL to enforce granular, column-level data access, ensuring sensitive clinical notes were strictly hidden from non-privileged users. • Designed and built a Secure Messaging system using the Signal Protocol for end-to-end encryption of all provider-patient communications. • Integrated Azure Active Directory B2C for enterprise SSO via SAML, enabling seamless access for healthcare provider organizations. • Architected a high-performance provider-facing medical records viewer using Spring Boot and the FHIR API (HAPI FHIR) , handling millions of patient data points. • Designed a robust Data Normalization Pipeline using Apache Camel to map proprietary EHR formats from major vendors (Epic, Cerner) to standardized FHIR resources. • Integrated the OHIF library for a zero-footprint DICOM Viewer, allowing providers to instantly view and interact with medical imaging studies within the platform. • Implemented a Clinical Decision Support (CDS) module using CQL (Clinical Quality Language) to surface critical drug-drug interactions and allergy alerts in real-time. • Managed deployment on Firebase Hosting and used Cloud Functions for serverless backend logic. • Deployed on AWS ECS and utilized Kafka for high-throughput streaming of EHR data to downstream systems. • Automated SCIM provisioning tests and used Cypress for critical E2E flows, including session management tests to validate HIPAA-mandated auto-logout functionality (15-min inactivity). • Developed over 1,000 test cases to validate FHIR resource mapping accuracy; used Postman for API contract testing; implemented automated integration tests for the OHIF DICOM viewer

Education

Add your educational history here.

Qualifications

Software Engineer Certificate
August 10, 2026 - August 10, 2036

Industry Experience

Computers & Electronics, Education, Financial Services, Healthcare, Media & Entertainment, Real Estate & Construction, Software & Internet, Telecommunications, Travel & Hospitality, Transportation & Logistics, Other