Senior Java Developer
2014.5~2020.7
• Reengineered Citibanamex money market trading platform using Java 8 + Spring Boot -> processing $500M+ daily transactions with zero downtime
• Built IMSS pension system modernization serving 50M+ beneficiaries -> reduced claim processing time by 60%
• Developed SEGOB government portal with microservices architecture -> 15+ REST APIs handling 100K+ daily requests
• Implemented automated testing (JUnit, Mockito) achieving 85%+ code coverage -> production bugs reduced by 45%
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53
AI Engineer - Conversational AI & Agent Systems
Scope: Developed AI-powered customer support agents capable of handling complex, multi-turn conversations with contextual understanding and autonomous resolution capabilities.
Key Deliverables: Automated customer support agent with multi-turn dialogue management; booking and scheduling AI workflows; customer issue resolution engine; personalized service interaction layer
Business Impact: Built conversational AI agents that autonomously resolve customer queries, reducing support ticket volume and improving response times while maintaining high customer satisfaction scores.
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26
AI Engineer - LLM Orchestration & Web Automation
Scope: Designed and built AI agents that automate complex web workflows directly in the browser, combining LLM orchestration with computer vision for intelligent navigation and interaction.
Key Deliverables: Automated data extraction pipelines for web portals; intelligent form-filling agents; invoice download automation system; end-to-end procurement workflow automation
Business Impact: Enabled enterprise clients to automate previously manual browser-based workflows, reducing processing time by significant margins and eliminating human error in repetitive data extraction and form submission tasks.
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18
Senior Cloud Developer — React, GraphQL, AWS Lambda, AI Integration | Sitacomm (Part-time)
August 2020 - Present
• Built real-time event management platform using React/Redux + GraphQL + WebSockets -> handling 10K+ concurrent users with sub-second latency
• Architected serverless backend on AWS (Lambda, S3, Chime API, Cognito) -> 40% infrastructure cost reduction vs traditional EC2
• Integrated MongoDB Atlas for event data persistence -> 99.9% uptime across 200+ enterprise events
• Led migration from monolithic Java backend to microservices (Spring Boot + Docker) -> deployment frequency 3x improvement
• Implemented AI-powered event analytics dashboard -> real-time attendee engagement scoring