Tina Lou
Founder · Product Technologist · Systems Architect
I Build the Infrastructure
Behind Intelligent Systems.
I architect validation-first AI platforms, multi-agent trading engines, and production-grade infrastructure designed to operate under real-world pressure. From real-time data orchestration to risk-gated decision systems—I build what holds.
Work
Platforms & Systems
AI-Integrated Platforms
LLM Integration & Intelligent Automation
Designed and built platforms integrating large language models into production workflows—from structured prompt engineering to agent-based decision systems. Focus on reliability, validation, and measurable outputs over demo-ware.
Role
Systems Architect & Developer
Systems Challenge
Moving AI from experimental prototypes to production systems that handle edge cases, validate outputs, and operate reliably under real-world conditions.
Outcome
Repeatable architecture patterns for AI integration that prioritize validation layers, structured outputs, and graceful degradation.
KEK Terminal
Multi-Agent Validation & Trading Infrastructure
A sophisticated DeFi trading terminal built on Solana with AI-powered trading agents. Architected the full platform: multi-agent orchestration for market analysis, narrative detection, asset scoring, and strategy generation. Built with validation-first principles and real-time data pipelines.
Role
Founder & Lead Architect
Systems Challenge
Designing a multi-agent system where AI agents coordinate in real-time to analyze market conditions, validate signals across layers, and execute with risk controls—all within sub-second latency requirements.
Outcome
Production-grade trading infrastructure with paper trading safety rails, configurable risk management, and a modular agent architecture that scales to new strategies without rewrites.
Brand Systems & Product Design
Strategic Design Infrastructure
Built comprehensive brand systems and product design frameworks—from identity architecture to packaging, pitch decks, and go-to-market materials. Every deliverable designed as part of a coherent system, not isolated assets.
Role
Design Systems Lead
Systems Challenge
Creating brand infrastructure that scales across touchpoints while maintaining coherence—from digital platforms to physical products to investor materials.
Outcome
Complete brand systems for 10+ companies spanning cannabis, music tech, spirits, and Web3—each architected for consistency at scale.
About
From Storytelling
to Systems Architecture
I'm Tina Lou—a founder, product technologist, and systems architect. My career is an unusual arc: from directing large-scale creative production to building the technical infrastructure that powers modern platforms.
For over 15 years I produced high-impact campaigns at scale—70+ published projects driving 20M+ impressions at Playboy alone. That work wasn't just creative. It was systems work: coordinating complex pipelines of talent, assets, timelines, and distribution channels under real constraints.
That operational rigor became the foundation for everything I build now. When I moved into full-stack development and product architecture, I brought the same discipline: understand the system end-to-end, design for resilience, validate before you ship.
Today I architect AI-integrated platforms, multi-agent trading infrastructure, and validation-first systems for the Solana ecosystem and beyond. I don't build surfaces. I build the layers underneath—the data pipelines, the decision engines, the infrastructure that holds when things get real.
“I've always been obsessed with how things actually work. Not the interface—the mechanism. Not the pitch—the architecture. That obsession is what makes the systems I build resilient.”
Production to Product
15+ years directing complex production pipelines became the playbook for architecting resilient digital systems.
Systems Over Surfaces
I build the validation layers, data architecture, and infrastructure that hold under pressure—not just the UI.
Founder Mindset
I operate as an owner. Long-term thinking, full-stack accountability, and a bias toward execution over abstraction.
Intelligent Infrastructure Systems
Operating Layers of Architecture
These are not tools on a resume. These are the architectural layers I design, build, and operate within when constructing intelligent financial systems—from agent orchestration to execution rails, each layer holds independently and integrates cleanly.
Distributed Systems & Core Architecture
Designing the structural foundation that every other layer depends on.
- ▸Architected modular, event-driven systems with clear domain boundaries and service isolation
- ▸Designed API-first platforms with structured contract layers between services
- ▸Built distributed architectures that degrade gracefully under failure conditions
- ▸Structured database schemas and query patterns optimized for real-time read/write loads
- ▸Deployed performance monitoring and observability from the infrastructure layer up
Multi-Agent AI Orchestration & Validation Systems
Production AI pipelines where agents coordinate, validate, and enforce in real-time.
- ▸Orchestrated multi-agent systems using LangGraph and LangChain where specialized agents coordinate in real-time
- ▸Built validation-first AI pipelines with structured output gating, confidence thresholds, and risk enforcement
- ▸Designed prompt architectures that produce reliable, parseable outputs at production scale
- ▸Implemented LLM output validation layers that catch hallucination, malformed responses, and schema drift
- ▸Integrated mem0 memory systems for persistent agent state, context retrieval, and cross-session learning
Strategy Generation & Trading Intelligence Systems
Signal detection, strategy synthesis, and intelligent trade logic under real constraints.
- ▸Designed the KEK Mix — a multi-agent strategy generation pipeline that synthesizes regime, narrative, and asset signals into executable trade logic
- ▸Built PineScript-to-Python strategy translation pipelines for cross-platform signal validation
- ▸Architected strategy scoring engines with confidence weighting, regime awareness, and position sizing logic
- ▸Structured multi-timeframe signal aggregation systems that combine technical, narrative, and on-chain data
- ▸Designed backtesting integration layers that validate strategy output against historical market conditions
Real-Time Data & Execution Infrastructure
Pipelines that ingest, transform, and execute on live data with zero tolerance for lag.
- ▸Built a Python-based trading bot with real-time market data ingestion, signal processing, and automated execution
- ▸Integrated Backtrader for historical simulation, strategy validation, and performance benchmarking
- ▸Designed ETL architectures for continuous data ingestion, transformation, and routing across services
- ▸Deployed cloud infrastructure on GCP with monitoring, alerting, and auto-scaling for production workloads
- ▸Architected CI/CD pipelines for zero-downtime deployment across development, staging, and production environments
Blockchain & DeFi Systems Architecture
On-chain infrastructure, DeFi execution rails, and risk-aware trading systems.
- ▸Built Solana-native trading infrastructure with wallet integration, token systems, and on-chain execution
- ▸Integrated Orderly omnichain SDK for perpetual DEX execution across multiple blockchain networks
- ▸Designed risk-gated execution pipelines with position limits, exposure controls, and graceful degradation
- ▸Architected on-chain data pipelines for real-time market state monitoring and transaction analysis
- ▸Structured DeFi platform architecture with paper trading safety rails and production enforcement layers
Product & Interface Systems
Systems-first product architecture from data layer to user interface.
- ▸Shipped production platforms in Next.js, React, and Node.js with TypeScript across multiple product verticals
- ▸Designed authentication systems, payment flows, and role-based access control layers
- ▸Built component-driven design systems that enforce consistency across products and teams
- ▸Structured complex multi-step interfaces with real-time state management and data synchronization
- ▸Integrated Supabase, PostgreSQL, and MongoDB for production data persistence at varying scale requirements
Track Record
Impact
Systems don't matter until they hold under pressure. This is what I've built—and shipped—at scale.
6+
Production Systems Deployed
Full-stack platforms architected end-to-end and shipped to production with real users, payments, and live data.
4
Multi-Agent Pipelines Architected
AI agent systems designed for real-time coordination, signal validation, and autonomous decision execution.
70+
Production Pipelines Orchestrated
Multi-layer systems coordinating teams, assets, timelines, and distribution infrastructure across media and technology platforms.
10+
Brand Architectures Built
Complete identity systems designed for coherence across digital, physical, and investor-facing touchpoints.
5+
Risk & Validation Layers Designed
Enforcement systems with position limits, output gating, confidence thresholds, and graceful degradation.
15+
Years Building Under Complexity
From directing large-scale production operations to architecting AI-powered infrastructure systems.
Approach
Founder &
Infrastructure Leadership
I operate as a technical founder—not a feature builder. The difference is in what you optimize for: I think in terms of infrastructure durability, system boundaries, and long-term operational cost. Features ship on top of architecture. When the architecture is wrong, everything built on it inherits that debt.
My focus is on the layers most teams skip: the validation pipelines, the risk enforcement, the monitoring that tells you what's actually happening in production. These are the systems that determine whether a platform survives contact with real conditions.
Multi-Agent Validation Pipelines
Architecting systems where multiple AI agents validate each other’s outputs before execution—layered verification that catches what single-point systems miss.
Risk-Gated Automation
Building automated systems with enforceable risk boundaries—position limits, exposure caps, and circuit breakers that operate independently of the decision layer.
Real-Time Performance Monitoring
Designing observability into the architecture from day one. Performance metrics, agent health checks, and system state awareness that inform decisions—not just dashboards.
Decision Engine Architecture
Structuring the logic layer where data becomes action—multi-signal aggregation, weighted scoring, and confidence thresholds that translate analysis into executable strategy.
Production Enforcement Layers
Implementing the guardrails that separate prototypes from production: input sanitization, output validation, rate limiting, and graceful degradation under failure conditions.
Infrastructure thinking means asking different questions. Not “what feature do we ship next?” but “what happens to the system when this assumption breaks?” That's the frame I bring to every project.
Philosophy
The Bottomless Rabbit Hole
The name isn't accidental. It's a commitment to going deeper than anyone expects. In a landscape of shortcuts and quick demos, I build from fundamentals. The rabbit hole is where the real understanding lives—and where resilient systems are born.
Depth Over Surface
I don’t skim. Every system I build starts with understanding the problem at its root—the data model, the edge cases, the failure modes. Surface-level solutions create surface-level results.
Understand the Mechanism
Before I architect a solution, I need to understand how the existing system actually works. Not the documentation version—the real version. That’s where the leverage is.
Resilience Over Hype
I build for the long term. Not the demo. Not the pitch. The thing that holds up six months from now when the edge cases arrive and the load increases.
Validation at Every Layer
Input validation. Output validation. Integration validation. Risk enforcement and automated limits at every boundary. Systems fail where components meet—at the seams, under volatility, at scale. I design for that. Every layer gets its own verification, because trusting upstream is how production systems break.
This is my differentiator. Not speed. Not hype. Depth.
Let's Build
Building Something That
Requires Depth?
I work with founders and investors who think long-term. If you're building infrastructure that needs to hold—not just ship—let's talk.
Bottomless Rabbit Hole
© 2026 Bottomless Rabbit Hole. All rights reserved.