$ architecture_consulting --init
Build scalable AI systems with the right architecture from day one.
I help startups and engineering teams design, build, and optimize end-to-end AI and cloud systems on AWS, with a focus on scalability, reliability, and cost efficiency.
── AWS ── GenAI / LLM ── Distributed Systems ── Cost Optimization
// what_i_do
What I do
- AI system architecture design (end-to-end)
- AWS cloud architecture review & optimization
- GenAI / LLM application infrastructure
- Scaling backend systems for early-stage and growth-stage startups
// who_i_work_with
Who I work with
- Startup founders building AI products
- Engineering teams scaling cloud infrastructure
- Teams integrating LLM / GenAI into production systems
// typical_outcomes
Typical outcomes
- Clear, scalable system architecture decisions
- Reduced AWS cost and infrastructure waste
- Faster path from prototype → production
- Avoiding early architectural mistakes that are expensive to fix later
// engagement_formats
Engagement formats
- 1-hour Architecture Review Session
- Async System Design Feedback (docs / diagrams)
- Short-term Advisory for AI / AWS system design
// how_it_works
How it works
- 01
Quick intro conversation (15–30 min)
- 02
Understand your system and challenges
- 03
Identify architecture risks and opportunities
- 04
Provide actionable recommendations
// about
About
Software engineer with experience building large-scale backend systems and cloud infrastructure at AWS.
Focused on helping teams make better architectural decisions early, especially in AI and distributed systems.
// contact
Contact
If you're building an AI product or scaling a system and want a second opinion:
- denny.wang.am@gmail.com
- book a call
- cal.com/denny-wang/architecture-intro