Signal 1
13+
Years in technology and product leadership
AI Production Readiness | Fractional CTO | Secure Platforms
Turn fragile AI into trusted products.
I help regulated B2B teams assess, secure, and ship AI products that work beyond the demo—then provide the architecture and leadership needed to scale them.
Dubai, UAEFounder energy with enterprise-grade discipline
Signal 2
40+
Engineers led across technical teams
Signal 3
1,250+
Officer reach through LEO AI onboarding
Operating Spectrum
AI Platforms
RAG, citations, guardrails, and product governance.
Secure Systems
RBAC, trust boundaries, and operational resilience.
Applied Interaction
Computer vision, mobile AR, and realtime product surfaces.
Recent Signals
LEO AI
AI Platform
NexxusOne
Secure SaaS
WGTS
SportsTech
TerraGrow
AgriTech
Available for focused AI audits and fractional CTO work
AI Product & Platform Partner
Production readiness, secure architecture, and calm technical leadership through ambiguity.
Leadership Depth
13+
Years in technology and product leadership
Team Scale
40+
Engineers led across technical teams
Public-Safety AI
1,250+
Officer reach through LEO AI onboarding
Secure SaaS Reach
300+
Officers supported by NexxusOne
AgriTech Data
3M+
Daily TerraGrow data points
Venture Capital
$2M
Raised for TerraGrow
Product Accuracy
98%+
WGTS accuracy positioning
Realtime Product
25
Documented Table-AR capability areas
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.
Agency-governed legal intelligence platform for law enforcement operations.
Built LEO as a multi-surface AI platform spanning public intake, officer workspace, agency administration, and platform operations, with agentic RAG, cited legal answers, credit governance, answer-quality review, support workflows, and knowledge-base operations.
4
Website, Officer, Agency, and Admin surfaces
6
Controlled AI legal work modes
Agentic RAGLegal AIPublic Safety SaaSCredit Governance
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
A connected campaign workspace and live virtual tabletop for role-playing groups.
Built the live-play side of a two-product RPG platform: Tavern prepares characters, campaigns, and media; Table-AR turns them into synchronized sessions with maps, combat, audio, notes, and spectator-safe streaming. It is browser-based, not camera AR.
25
Live-play capability areas
4
Player, DM, creator, and viewer journeys
Virtual TabletopCampaign ContinuityRole-Safe SessionsLive Combat
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
Technology Leadership Across Products
Thirteen-plus years spanning enterprise delivery, product management, venture building, AI-native architecture, and secure platform leadership.
Founder / CTO / TerraGrow
Apr 2021 - Present
Builds 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.
Head of Engineering & Product (Contract) / Drive Technology
Jan 2022 - Mar 2024
Led product, engineering, rapid delivery, and AI-assisted development across fintech and 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.
Technical Product Manager - HealthTech / Injazat
Oct 2021 - Jan 2022
Defined virtual-care platform requirements spanning telehealth, payments, AI-assisted triage concepts, and patient data.
- Shaped compliance-aware architecture, encryption, access controls, and audit-oriented requirements.
- Connected enterprise healthcare needs to executable product specifications.
Product Manager - Digital Payments / Frontier Learning Solutions
May 2020 - Oct 2021
Launched wallet, transaction, rewards, and peer-to-peer payment capabilities for an edtech platform.
- Used product analytics to guide retention and registration improvements.
- Balanced financial workflows, user experience, and delivery constraints.
Senior Product Manager / Laboratory Learning Solutions
Apr 2019 - Apr 2020
Led a digital STEM platform and managed product economics, operating costs, and market positioning.
- Owned a $2M+ product P&L and cross-functional delivery.
- Connected product strategy to measurable commercial outcomes.
Senior Product Manager - AI & Fintech / SAAL.AI
Sep 2017 - Aug 2019
Delivered healthcare AI MVPs and fintech and edtech proof-of-concepts across enterprise-facing programs.
- Worked across machine learning, NLP, rapid prototyping, and stakeholder validation.
- Improved operating workflows with AI-enhanced delivery and documentation.
Senior Project Manager - Enterprise Systems / Infosys Tech
Apr 2013 - Jul 2016
Led cross-functional ERP delivery for manufacturing clients and complex technical programs.
- Developed delivery discipline across complex technical programs.
- Established the hands-on engineering foundation behind later CTO-level work.
Leadership Philosophy
Calm Under Complexity
Principle 1
Build fast, but build trusted systems.
Speed matters most when the product can still earn confidence from users, administrators, and executives.
Principle 2
Use AI to multiply engineering execution.
AI should accelerate delivery while senior judgment protects architecture, security, and product fit.
Principle 3
Architecture must connect to the business model.
The best technical decisions make user value, scalability, governance, and monetization easier to reason about.
AI Audit / Platform Rescue / Fractional CTO
Have an AI product that needs to earn trust?
Start with a focused production-readiness audit, a delivery sprint, or fractional technical leadership. Executive roles and agency partnerships are welcome too.