15+
Years in technology and product leadership
AI-Native CTO | VP Engineering | Secure Platform Builder
Building secure, AI-native platforms from zero to production.
I lead and build complex products across AI, law enforcement technology, agritech, fintech, healthtech, and real-time platforms by combining hands-on architecture, product strategy, and engineering leadership.
CTO Stack
RAG01
Security02
Cloud03
Product04
Realtime05
Executive Technology Leadership
Hands-on architecture, secure systems, AI product strategy, and zero-to-one execution.
40+
Engineers led across technical teams
1,250+
Officer reach through LEO AI onboarding
300+
Officers supported by NexxusOne
3M+
Daily TerraGrow data points
$2M
Raised for TerraGrow
98%+
WGTS accuracy positioning
200+
Table AR users supported
Signal Console
The work changes domains, but the operating pattern stays sharp.
AI, secure SaaS, AR, agritech, and realtime platforms all need the same discipline: turn complex systems into products people can trust and use.
Active Signal
AI Systems
Legal intelligence
RAG + citations + guardrails
Source-grounded workflows that make complex legal and operational knowledge usable.
Case Studies
Proof, Not Resume Filler
The portfolio is organized around systems built, risks handled, and outcomes created across AI, security, sports technology, agritech, and real-time platforms.
Source-grounded legal intelligence for law enforcement agencies.
Built the complete LEO AI RAG platform for law enforcement legal intelligence, including retrieval pipelines, citations, guardrails, agency administration, officer access, and credit-based pricing.
5
Agency-scale onboarding
1,250+
Officer-scale reach
RAGLLMVector DatabaseLegal AI
Secure public-safety collaboration for multi-agency coordination.
Built and delivered a secure public-safety collaboration platform for law enforcement agencies, modernizing officer coordination, secure messaging, case workspaces, and encrypted information sharing.
300+
Officer-scale adoption
AES-256
Enterprise-grade encryption posture
Law EnforcementSecure MessagingRBACAudit Logs
AI + AR measurement for lawn bowls, Bocce, and precision sports.
Built and delivered an AI + AR lawn bowls measurement app using a YOLO-trained computer vision pipeline, native iOS, and LiDAR-assisted measurement, with expansion planned for Bocce and similar precision sports.
98%+
High-accuracy measurement positioning
<3 sec
Fast shot measurement
SportsTechComputer VisionYOLONative iOS
AI and data infrastructure for controlled-environment agriculture.
Led TerraGrow as a founder/operator, building agritech data systems that connected AI, IoT, cultivation intelligence, dashboards, and business operations.
$2M
Venture-backed execution
3M+
Large-scale agritech telemetry
AgriTechIoTAI AnalyticsData Infrastructure
Table AR
Real-Time Platform
Live tabletop gameplay systems with synchronized tokens and broadcast state.
Built core real-time features for Table AR, a virtual tabletop RPG platform, including broadcast functionality, synchronized tokens, session state, and live gameplay calculations.
200+
Live tabletop user base
Live
Broadcast features
VTTReal-Time SystemsWebSocketsBroadcast
What I Build
Systems For Complex Work
Five capability pillars connect the case studies into a CTO-level operating pattern: AI, trust, speed, applied interaction, and zero-to-one leadership.
AI-Native Platforms
LLM products designed around retrieval, governance, guardrails, and adoption.
- RAG pipelines
- AI agents
- Vector databases
- Cited workflows
Secure Enterprise Systems
Sensitive-domain platforms shaped for trust, access control, and auditability.
- RBAC
- Encryption posture
- Audit trails
- Multi-tenant administration
Real-Time Product Experiences
Live state, broadcast, collaboration, and interaction systems where latency matters.
- WebSockets
- Broadcast flows
- Session state
- Token sync
Computer Vision & Mobile AR
Applied AI products that connect detection, spatial sensing, and native mobile UX.
- YOLO pipelines
- ARKit
- LiDAR flows
- Object detection
Zero-to-One Leadership
Founder/operator execution across MVPs, teams, funding, architecture, and delivery.
- MVP to production
- Team scaling
- Product strategy
- Stakeholder demos
Technical Leadership Stack
Depth Where It Matters
The emphasis is not on tool collecting. It is on the architecture areas that decide whether a product becomes secure, scalable, and adopted.
AI & RAG
LLM workflowsEmbeddingsVector searchCitation mappingGuardrails
Cloud & Platform
Next.jsNode.jsServerlessPostgresMulti-tenant SaaS
Security & Trust
RBACAudit logsEncrypted workflowsSOC 2-aware practices
Realtime & Interaction
WebSocketsBroadcast stateSession syncThree.jsWebGL
Mobile & Vision
Native iOSARKitLiDARYOLOCore product UX
Delivery Systems
MLOps thinkingCI/CDObservabilityAI-assisted development
Experience
Founder, Builder, Operator
The career narrative moves from engineering discipline into AI-native product leadership, public-sector trust, and venture-building.
Founder / CTO / TerraGrow
2018 - 2024
Built agritech data and AI systems while leading venture, product, and engineering execution.
- Scaled technical execution across product, infrastructure, analytics, and stakeholder demos.
- Led teams and systems supporting high-volume operational data workflows.
- Raised venture funding and translated complex technology into business outcomes.
Technology Leader / Venture Builder / Drive Technology
2024 - Present
Builds AI-native products, prototypes, and executive technology strategies across venture contexts.
- Shapes zero-to-one product roadmaps and technical architecture.
- Applies AI-assisted delivery workflows to accelerate build cycles.
- Connects founder, investor, and operator priorities into executable plans.
Technology & Product Leadership / SAAL.AI
Prior role
Worked across AI product delivery, engineering execution, and enterprise-facing technology programs.
- Delivered AI and data-driven product initiatives.
- Supported cross-functional execution across technical and business stakeholders.
Technology Leadership / Injazat
Prior role
Contributed to enterprise technology delivery in cloud, platform, and transformation environments.
- Operated in enterprise-scale delivery settings.
- Balanced technical implementation with stakeholder outcomes.
Engineering Foundation / Infosys Tech
Early career
Built the engineering base that later expanded into product, AI, cloud, and executive leadership.
- Developed delivery discipline across complex technical programs.
- Established the hands-on engineering foundation behind later CTO-level work.
Leadership Philosophy
Calm Under Complexity
Build fast, but build trusted systems.
Speed matters most when the product can still earn confidence from users, administrators, and executives.
Use AI to multiply engineering execution.
AI should accelerate delivery while senior judgment protects architecture, security, and product fit.
Architecture must connect to the business model.
The best technical decisions make user value, scalability, governance, and monetization easier to reason about.
Executive Search / Founder Conversation / AI Product Leadership
Looking for an AI-native CTO or product engineering leader?
Let's talk about secure AI platforms, product architecture, zero-to-one execution, and teams that need technical leadership with hands-on depth.