Martin Chavez

Senior Full Stack AI Engineer with 10+ years building distributed systems, AI agent platforms, and large-scale backend architectures. Specializes in TypeScript, Python, Go, and Rust with strong expertise in LLM systems, RAG pipelines, vector databases, and high-performance APIs. Proven experience designing systems processing 100M+ scale data workloads and supporting 1M+ monthly automated agent executions.

Strong background in cloudnative architecture using AWS, Azure, Docker, Kubernetes, Kafka, and event-driven microservices. Focused on clean architecture, system scalability, and production-grade AI infrastructure. Experienced across SaaS, enterprise systems, desktop tooling, and developer platforms.

Senior Full Stack AI Engineer at Accenture (2024-07 – Present)

• Built AI agent platform executing 1M+ automated tasks/month across enterprise workflows
• Designed distributed crawler + ingestion system processing 100M+ web pages
• Improved API throughput by ~50% using Rust + Go microservices optimization
• Built MCP-based tool orchestration layer integrating 100+ internal systems
• Achieved 99.95% system uptime through redundancy, failover, and observability pipelines
• Reduced infra cost by ~35% via serverless scaling + workload optimization

Lead Developer at ProSys Information Systems (2023-01 – 2024-06)

• Led development of AI agent platforms handling 500K+ automated task executions monthly
• Built Rust + Tauri desktop systems used by 20K+ active users across internal tooling ecosystems
• Designed MCP-style agent architecture enabling 50+ tool integrations across distributed systems
• Improved system performance by ~45% through async Rust, caching, and concurrency optimization
• Built CLI/TUI developer tools adopted by 1K+ internal engineers for automation workflows
• Processed 30M+ records in knowledge graph and search systems for semantic retrieval
• Reduced manual engineering operations by ~60% through agent-based automation pipelines
• Built full-stack SaaS products using Next.js, FastAPI, PostgreSQL, and Redis

Full Stack AI Engineer at ProSys Information Systems (2021-06 – 2022-12)

• Built AI agent systems executing 200K+ automated workflows for enterprise clients
• Developed Tauri + Rust desktop apps used by 15K+ active users
• Processed 50M+ records across distributed search and indexing systems
• Reduced system latency by ~40% using Kafka event-driven pipelines
• Built real-time systems supporting 10K+ concurrent users
• Improved search performance by ~55% using Elasticsearch and vector search
• Reduced release cycles from 1 week to 1 day via CI/CD automation

Full Stack AI Engineer at Michell Consulting Group (2018-06 – 2021-05)

• Built AI enterprise tools used by 100K+ users across client environments
• Developed LLM-based semantic search systems improving retrieval accuracy by ~45%
• Designed vector pipelines processing 10M+ embeddings for knowledge systems
• Reduced manual operational workflows by ~60% through automation and AI agents
• Built APIs handling 1M+ monthly requests across SaaS platforms
• Reduced deployment time by ~70% using Docker-based infrastructure standardization
• Improved inference performance by ~30% through caching and batching strategies

Full Stack Developer at Team Logic IT (2017-02 – 2018-05)

• Built SaaS platforms serving 50K+ users using React, Vue, Node.js, and TypeScript
• Implemented real-time WebSocket systems supporting 5K+ concurrent users
• Processed $500K+ in Stripe transactions through integrated payment systems
• Improved frontend performance by ~40% using SSR (Next.js) and bundling optimization
• Migrated legacy systems to modern MERN architecture, improving scalability by ~60%
• Mentored 4 junior developers, increasing team delivery throughput by ~25%

Backend Developer at Team Logic IT (2015-11 – 2017-02)

• Built REST APIs handling 100K+ monthly requests using Node.js and Express
• Designed authentication systems supporting 10K+ active users with JWT and session-based flows
• Reduced API latency by ~35% via query optimization and caching improvements
• Engineered backend services using MongoDB and PostgreSQL with millions of stored records
• Reduced deployment cycle time from 2 days to under 6 hours through CI improvements

Web Developer at Team Logic IT (2015-05 – 2015-11)

• Built and deployed 12+ client websites using PHP, JavaScript, HTML, and CSS, improving delivery speed by ~30%
• Developed WordPress plugins used across 20+ business websites for CMS and e-commerce workflows
• Improved page load performance by ~25% through frontend optimization and caching strategies
• Supported MySQL-backed systems handling ~50K+ monthly requests across client deployments
• Increased organic search traffic by up to ~40% through SEO improvements and technical fixes

Bachelor of Software Engineering in Programming & Software – Embry-Riddle Aeronautical University (2015-05)