DarDev
Co-founded engineering studio — product strategy, architecture, AI, and cloud delivery.
Overview
DarDev is a product-led engineering practice. We own strategy through deployment — AI where it earns ROI, security by default, and cloud infrastructure that teams can operate.
Project story
As Co-Founder I shaped how we sell and ship: clear system boundaries, automation-first delivery, and technical leadership that keeps client products coherent as they grow.
Problem
Clients needed a partner who could own product direction and ship secure, automated, cloud-ready systems — not just pixels.
Solution
A studio model that pairs product strategy with full-cycle engineering: architecture, frontend/backend, AI integration, security reviews, and cloud delivery as one narrative.
Features
- End-to-end product ownership
- Architecture & technical leadership
- AI & automation integration
- Cloud and security defaults
Architecture
Product-led engineering practice: clear system boundaries, cloud-native delivery, automation, and AI where it creates measurable leverage.
Frontend
Next.js / React product surfaces with intentional design systems.
Backend
Typed APIs and service boundaries owned end-to-end.
Database
PostgreSQL-first models shaped by the domain.
Authentication
Secure session/JWT patterns with role-aware access.
Cloud
Deployable infrastructure with secrets hygiene.
DevOps
Docker, CI/CD, and operable release paths.
Security
Threat-aware reviews baked into architecture.
AI
Selective LLM workflows with measurable product value.
Security
- Secure-by-default delivery practices
- Auth and secrets hygiene
- Threat-aware architecture reviews
Performance
- Cloud-aware delivery
- Automation-first ops
- Lean frontend/backend stacks
Accessibility
- Semantic product UI patterns
- Keyboard-friendly admin flows
- Readable contrast in brand systems
AI features
Selective AI integration for automation and product features where ROI is clear.
Challenges
- Balancing founding-level ownership with shipping velocity
- Standardizing quality across varied client domains
- Choosing AI that helps instead of distracts
Results
- Technical leadership across client and internal products
- Architecture and product strategy from idea to production
- AI integration and automation embedded in delivery
- Cloud infrastructure and security as defaults
Co-Founder
Role
Full cycle
Scope
Product Eng
Focus
Lessons learned
- Strategy and delivery must share the same owner narrative
- Security reviews early beat audits late
- Automation is a product feature for engineering teams
Tech stack
Frontend
Backend
Cloud & DevOps
AI & Security
Timeline
Ongoing
6 min read
My role
Scalability
Reusable architecture patterns across engagements; cloud infrastructure ready to grow with demand.
Video walkthrough
Product walkthrough placeholder — add a Loom or demo reel here when ready.