👋Hi, I'm Abel Rincon
AI Engineer based in Austin, Texas, building enterprise systems that scale from hundreds to thousands of users.
I specialize in taking AI systems from concept to market-ready deployment
Business Intelligence Visualization
Real-time metrics and strategic overview
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REALISTIC SCALING PIPELINE
Current Phase Growth Phase Scale Phase
+------------+ +------------+ +------------+
| Hundreds | --> | Thousands | --> | Millions |
| Users | | Users | | Users |
+------------+ +------------+ +------------+
| | |
Bootstrap Seed Funding Series A
Timeline: 24-36 months
Enterprise Clients: 15+
Revenue Potential: $2.5M+ PotentialtuneMarket-Adaptive AI Framework
AWS • Azure • GCP
Kubernetes orchestration
Serverless architecture
HIPAA • SOX • FERPA
ISO 27001 • FedRAMP
PCI DSS • EU AI Act
3-8 week cycles
Pre-built compliance modules
Market-specific templates
Industry-specific AI models
Custom data pipelines
Regulatory auto-config
psychologyPsychology-Driven Learning: C++ Gamification
Pointers = Power-ups
Memory Management = Tower Defense
Recursion = Boss Battles
Dynamic difficulty curves
AI adapts to learning pace
Just like modern AAA games
Complex concepts chunked
Immediate dopamine rewards
Frustration → Achievement
Friendly error messages
Learning from mistakes
Personalized hint system
boltSpeed of Execution: Healthcare Case Study
Identified critical bottlenecks: patient wait times, paper workflows, triage prioritization
Integrated real-time data flow: Labs → Triage → Nurses Station
AI chatbot now assists triage nurses in identifying next critical patient
Rapid Enterprise AI Deployment Across Regulated Markets
Swift enterprise system creation using cloud-native AI architecture. Each market engagement requires unique parameters - HIPAA for healthcare, SOX for finance, FERPA for education, ISO for manufacturing. My framework adapts to regulatory requirements while maintaining 3-8 week deployment cycles across AWS, Azure, and GCP infrastructures.
Market-Adaptive AI Systems
Each deployment uniquely configured for market-specific regulations and enterprise requirements:
AWS cloud deployment with PHI protection, real-time monitoring, AI triage. Scaled across multiple hospital systems
Azure deployment with student privacy controls, gamified learning, adaptive AI. Multi-campus rollout
GCP deployment with industrial IoT integration, predictive maintenance, security intelligence
Hybrid cloud with audit trails, compliance automation, risk assessment AI. Fortune 500 deployments
AWS GovCloud with security clearance protocols, classified data handling, threat detection
Multi-cloud deployment with payment security, customer AI, inventory optimization
Funding Focus: Accelerated Deployment
Seeking funding to accelerate full-scale deployment of proven AI systems. Current focus includes scaling the EU AI Act compliance platform targeting organizations preparing for 2026 regulatory requirements, expanding multi-campus enterprise dashboard deployments, and bringing additional consumer AI applications to market through app store channels.
Investment opportunity: Established technical foundation, validated enterprise clients, demonstrated revenue potential, and strategic Austin tech hub location for rapid scaling.
Featured Projects
Screenshot of TARS Health Companion interface showing emotion detection dashboard with 37-dimensional analysis, astronaut health metrics, and psychological support features.
Mobile app screenshots showing seasonal intelligence interface, personalized recommendations, Core Data visualizations, and accessibility features. Include App Store listing preview.
Network diagram showing communication pattern analysis, relationship mapping, interaction quality metrics, and AI-powered insights for relationship optimization.
System architecture diagram showing Watson AI services integration, mobile API endpoints, partner system connections, and scalable backend infrastructure for Fortune 500 deployment.
Trusted By Leading Organizations
Market-Driven AI Development
Successful AI systems solve measurable business problems while maintaining regulatory compliance. Every deployment focuses on generating ROI through operational efficiency, competitive advantage, and market differentiation - demonstrated through live enterprise clients and consumer market presence.
Austin Tech Hub Advantage
Research → Development → Deployment → Market Scale
Based in Austin, Texas, at the intersection of enterprise technology, healthcare innovation, and consumer markets. Strategic positioning enables rapid scaling through established tech infrastructure, enterprise partnerships, and access to both funding and talent acquisition channels.
Ready to Deploy AI at Scale?
Let's discuss how proven AI systems can transform your enterprise operations.