Aurora, Colorado, United States
I'm a technology leader and I’ve spent over three decades designing, building, and scaling enterprise systems—from the early days of client-server applications to today’s AI-driven platforms. My focus has always been on turning complex challenges into clean, scalable solutions that last. I'm now channeling that expertise into solving one of the biggest challenges in business today: making AI actually work. I believe great engineering comes from curiosity, clarity, and craftsmanship —values I’ve carried through every line of code, system diagram, and production rollout. As a hands-on technologist, I move comfortably between code, architecture, and strategy. I love experimenting with new tools, frameworks and finding elegant ways to integrate AI into real-world products. Why I Co-Founded Sairis: After watching 95% of AI initiatives fail to move from pilot to production, I saw a clear opportunity. Organizations weren't lacking AI technology—they were lacking the right architecture, governance, and user experience to make AI work at scale. I co-founded Sairis to solve this problem with a multi-tenant SaaS platform that combines enterprise-grade security with consumer-grade simplicity. What We're Building: Sairis is a highly scalable, cloud-native SaaS platform that gives every employee a personalized AI assistant—one that understands your company's knowledge, respects data permissions, and operates by your rules. We're not just another chatbot. We're operationalizing intelligence across entire workforces with enterprise-grade multi-tenancy and infinite scalability. My Professional Philosophy: I believe in building technology that empowers people, not replaces them. I'm passionate about democratizing both AI and data analytics—making sophisticated analysis accessible to every employee while maintaining the governance, security, and scalability enterprises require. What Drives Me: I'm motivated by solving hard technical problems that create real business value. There's nothing more satisfying than seeing a non-technical employee ask a complex question in plain English and get an instant, accurate answer from data they couldn't access before. That's the future I'm building.
Leading technical strategy and platform development for an enterprise AI platform that transforms how organizations deploy and govern AI across their workforce. Key Achievements & Responsibilities: • Architected and built a secure, scalable enterprise AI platform serving multiple Fortune 500 organizations • Developed proprietary Agentic AI system with contextual memory, workflow integration, and adaptive learning capabilities • Implemented enterprise-grade RAG (Retrieval-Augmented Generation) with attribute-based access controls ensuring data security and compliance • Created AI Blueprints framework enabling no-code agent creation—empowering business users to build custom AI workflows in minutes • Built multi-language support system with real-time translation and citation verification for global workforce deployment • Designed AI governance architecture giving IT complete control while eliminating bottlenecks for business units • Achieved 97% faster time-to-ROI compared to traditional enterprise AI deployments • Led integration of multiple LLM providers with intelligent routing and cost optimization • Developed AI agent tools enabling web search, news aggregation, mathematical calculations, and multi-source data analysis • Established security protocols preventing data leaks while enabling powerful AI capabilities across organizations Technical Leadership: • Platform Architecture & Scalability • AI/ML Strategy & Implementation • Enterprise Security & Compliance • API Development & Integration • Cloud Infrastructure (AWS/Azure/GCP) • Team Building & Technical Hiring Impact: Enabling organizations to move from AI pilots to production systems—delivering measurable productivity gains, accelerated decision-making, and competitive advantages that compound over time.
Work with the NFL to setup the surface system tablets and servers on the sidelines and coaches boxes, providing real time support during games for players and coaches. http://www.microsoft.com/surface/en-us/nfl
PlayerLync is a modern learning software that integrates mobility, digital forms, content distribution, and daily performance management into a single solution that helps operational teams deliver exceptional customer experiences. Deskless workers can communicate with one another and access valuable information online or offline anywhere they need it. ► Key contributor to the formulation of the company's business and digital strategies from concept to a fully scaled software system by designing, architecting, and building a large SaaS server capable of distributing and large scale deployment. ► Establish multi-year Strategic Direction and Business Strategy for Information Technology across the Enterprise. ► Manage project proposals, capital project submission, establish the capital budget, and perform project financial and impact analysis. ► Ensure that existing and planned technical architecture, investments, and solutions are aligned with company business objectives. ► Designed and build authentication system following the OpenID Connect standard, then integrated this authentication to AWS using federated identity. ► Integrated OpenID connect system allow SAML authentication from 3rd party IDPs. ► Integrated with Salesforce and HubSpot to allow seamless quoting and ordering system and customer tracking. ► Designed and build Video Transcoding system that is used by half of the NFL teams. ► Scaled servers for 100s of transactions to 1000s of transactions per second. ► Provide insights on emerging technologies and trends relevant to enterprise goals and evolving needs. ► Drive vision, strategy, and roadmap and determine capital investment parameters, priorities, and risks for enterprise-wide initiatives to maximize ROI. ► Handle all recruiting and hiring of upper and mid-level Information Systems managers, systems engineers and developers. ► Prepare and monitor IT KPIs and operational budgets that meet prevailing objectives and constraints.