Gabriel Martinez
Software Engineer specializing in AI integrations, full-stack applications, and quantitative data architectures
I build production-ready systems that leverage AI, cloud infrastructure, and modern frameworks to solve real-world problems. From serverless APIs to cross-platform applications, I focus on scalable, maintainable solutions.
Featured Projects
Production-ready applications showcasing full-stack development, AI integration, and modern architectures
The Trend Hub
AI-Powered Multilingual Content Platform with Intelligent Ad Monetization
An automated B2B content delivery and monetization engine engineered for maximum RPM through predictive commercial intent scoring and bilingual SEO infrastructure. Automatically ingests, sanitizes, and expands multi-source feeds into high-value B2B SaaS and Fintech verticals.
System Architecture
Key Features
- •AI-Powered Commercial Intent Scoring: Evaluates inbound content via Claude Sonnet 4.6 to inject optimized ad slots based on B2B purchasing signals
- •Intersection-Aware Ad Lazy Loading: Encapsulated custom <trend-ad-slot> components defer ad rendering until viewport intersection, cutting initial page weight by 40%
- •Bilingual SEO & RSS Pipeline: Headless ingestion with automated translation tables, hreflang-annotated XML sitemaps, and full Google Discover optimization
Technical Highlights
- ✓Implements proprietary LLM intent-scoring algorithm for high-RPM ad placement strategy
- ✓Features high-performance indexing achieving <50ms query latency on a 10K+ article corpus
- ✓Deployed via ultra-lean 94MB multi-stage Docker images on AWS Lightsail with full SIGTERM graceful shutdown handlers
Air Gen AI Corporate Platform
Modern, performant portfolio showcasing technical expertise
Production-ready portfolio built with Next.js 15, featuring dynamic project showcases, responsive design, and optimized SEO. Showcases full-stack development capabilities and design sensibility.
System Architecture
Key Features
- •Server-side rendering for optimal performance
- •Dynamic sitemap generation
- •Micro-interactions and smooth animations
Technical Highlights
- ✓Built with latest Next.js 15 features
- ✓Implements modern UI/UX design patterns
- ✓Optimized Lighthouse scores (95+ across all metrics)
AI Prompt & Agent Optimizer Hub
Production-ready AI prompt engineering platform
Full-stack application that optimizes AI prompts using advanced frameworks (SHOTGUN, RTFC, Chain-of-Thought). Features a Flutter mobile frontend and FastAPI backend with AWS Bedrock integration.
System Architecture
Key Features
- •Real-time prompt optimization using Claude AI
- •Multi-framework support (SHOTGUN, RTFC, Chain-of-Thought)
- •CORS-enabled API for cross-origin requests
Technical Highlights
- ✓Integrated AWS Bedrock for enterprise-grade AI inference
- ✓Built serverless API handling 1000+ tokens per request
- ✓Implemented robust JSON parsing with markdown cleanup
Technical Skills
Full-stack expertise spanning modern frameworks, cloud infrastructure, and AI integration
Frontend Development
Backend Engineering
Cloud & Infrastructure
AI & Data Science
Experience
Building production systems and leading technical initiatives
Full-Stack Software Engineer
Independent / Contract
Building production-ready applications with focus on AI integration, serverless architectures, and modern frontend frameworks.
Key Achievements
- ▸Architected and deployed AI-powered prompt optimization platform
- ▸Integrated AWS Bedrock for enterprise AI inference
- ▸Built cross-platform applications with Flutter
- ▸Implemented serverless APIs with FastAPI and AWS Lambda
- ▸Developed responsive web applications with Next.js and React
Software Engineer & Technical Architect
Small Business Engineering Initiatives
Led development of data-driven applications including fitness tracking telemetry, real-time betting ingestion engines, and media bias analysis tools.
Key Achievements
- ▸Designed quantitative data architectures for real-time processing
- ▸Built telemetry systems for fitness tracking applications
- ▸Implemented real-time data ingestion pipelines
- ▸Developed truth probability and media bias detection tools
- ▸Created scalable backend systems with Python and Node.js