About

I'm Joshua.

Product-minded. Technically deep.

I'm a product manager and builder with a background in economics. Over eight years I've worked across marketplace, fintech, insurtech, and SaaS companies, always at the intersection of product strategy and hands-on engineering. Now I run PeakHaus, an independent consultancy that helps businesses build and ship software.

The problems I solve are practical: helping a business get online, building internal tools that replace spreadsheets, shipping mobile apps, integrating payment systems, and adding AI where it actually helps. Every engagement starts with understanding your business, not jumping to a tech stack.

What makes PeakHaus different is full stack ownership from discovery to deployment. I run an AI-augmented development workflow that ships at startup speed without startup chaos. You get one person who understands both the product decisions and the technical tradeoffs, instead of a team playing telephone between departments.

On the technical side: PostgreSQL, Supabase, Vercel, CI/CD pipelines with automated preview deployments, edge functions, server-rendered React, native iOS in Swift, and structured analytics instrumentation across every project.

Get in touch

What I bring to the table.

Product Strategy

Customer discovery, A/B experimentation, and data-driven roadmaps that translate user pain into shipped features.

Infrastructure & CI/CD

Automated deployment pipelines, preview environments, serverless compute, edge functions, and zero-downtime releases.

AI-Augmented Development

LLM-assisted pair programming for rapid prototyping, code generation, and architectural planning. ML models for personalization.

Full Stack Execution

PostgreSQL, RESTful APIs, server-rendered React, native iOS in Swift, cross-platform analytics, and cloud infrastructure.

Where I've been.

Present

Founder & Product Lead

PeakHaus

Running an independent consultancy and building products from scratch. Full stack ownership across backend infrastructure, frontend deployments, native mobile, and CI/CD automation.

  • End-to-end product development from discovery to deployment
  • AI-augmented development workflow for rapid iteration
  • PostgreSQL, Supabase, Vercel infrastructure stack
  • Native iOS development in Swift alongside web platforms
2022 - 2025

Lead Product Manager

Series B Marketplace Platform

Scaled a global marketplace through API integrations, payment network orchestration, and AI-driven engagement pipelines. Led experimentation frameworks and data-optimized user journeys.

  • Managed cross-functional teams across 3 time zones
  • Built payment orchestration layer processing $2M+ monthly
  • Implemented ML-driven recommendation engine
  • Led A/B testing framework with statistical rigor
2020 - 2022

Product Manager

VC-backed PropTech

Launched mobile apps on iOS and Android from zero. Deployed ML recommendation engines, cross-platform analytics, and subscription billing infrastructure.

  • Launched iOS and Android apps reaching 50K+ users
  • Integrated Stripe subscription billing and revenue analytics
  • Built cross-platform event tracking with Amplitude
  • Shipped ML-powered property recommendations
2017 - 2020

Product Analyst

VC-backed Insurtech

SQL and Python analysis on large datasets. Built automated observability dashboards, enhanced ML underwriting models, and optimized conversion funnels in regulated markets.

  • Built automated dashboards for executive reporting
  • Enhanced ML underwriting models improving accuracy 15%
  • Optimized conversion funnels in regulated insurance markets
  • Managed data pipelines processing 1M+ records daily

How I build.

A product manager's approach to AI, scalability, and full stack ownership.

01

Product Sense

Finding the Wedge

User-centric discovery

Understanding your business problem first. What are your users struggling with? Where does existing software fall short? The goal is a clear picture of the opportunity before any code gets written.

Every successful product starts with deep understanding. I spend time with your users, analyze your existing data, and map out the competitive landscape. This isn't about building what's technically interesting—it's about finding the wedge that creates real value.

  • User interviews and journey mapping
  • Competitive analysis and market positioning
  • Problem-solution fit validation
  • Requirements documentation and prioritization
02

Architecture

Scalable Systems

Building infrastructure that scales with your business. From database design to API layers, every technical decision is made with long term maintainability and performance in mind.

Technical debt is expensive. I design systems that grow with you—choosing the right database schemas, API patterns, and deployment strategies from day one. This means fewer rewrites later and faster feature development as you scale.

  • Database schema design and optimization
  • API architecture and documentation
  • CI/CD pipeline configuration
  • Security hardening and compliance
03

AI Integration

Intelligent Primitives

Adding AI where it creates genuine value, not just for the sake of it. Predictive insights, automated workflows, and intelligent features deeply integrated into the product loop.

AI is a tool, not a strategy. I identify where machine learning genuinely improves your product—whether that's smarter search, personalized recommendations, or automated workflows—and integrate it seamlessly into the user experience.

  • LLM integration for natural language interfaces
  • Predictive modeling for user behavior
  • Automated content and workflow generation
  • Real-time personalization engines
Predictive modeling
Automated workflows
04

Execution

Full Stack Ownership

Shipped to production

End to end delivery. From initial discovery and requirements to database schema design, API development, and final UI polish. Every project ships with production discipline.

Shipping is the only metric that matters. I own the entire delivery pipeline—from the first commit to production deployment. You get regular demos, iterative feedback loops, and a product that actually launches.

  • Iterative development with weekly demos
  • Automated testing and quality assurance
  • Production deployment and monitoring
  • Post-launch optimization and support