Work with me
Your architecture decisions today define your constraints tomorrow.
I help engineering teams audit systems, design for scale, and make the right technical bets - before the cost of getting it wrong becomes the cost of rewriting everything.
17+
Years in production systems
100+
Countries reading my work
20K+
YouTube subscribers
10min
Avg. time on deep-dive articles
How I work
Three ways to bring me into your engineering challenges.
Most requested
Architecture Review
A deep audit of your system architecture - database design, service boundaries, deployment strategy, and failure modes. You get a written report with prioritised recommendations, not vague observations.
What you get:
- Written architecture assessment with diagrams
- Risk matrix - what breaks first under scale
- Prioritised action plan - 30/60/90 day roadmap
- 1-hour walkthrough with your engineering team
Typical engagement
2-3 weeks - Project-based
Technical Advisory
Ongoing access to senior architectural thinking. I join your planning calls, review RFCs, and help your team make decisions they'll still be confident about in two years.
Best for:
- Teams scaling without a dedicated architect
- Pre-launch architecture validation
- Database design and migration strategy
Typical engagement
Monthly retainer - 8-16 hours/month
Fractional CTO
For startups and growing companies that need senior technical leadership without a full-time hire. I set technical direction, mentor your lead developers, manage vendor relationships, and represent engineering in the boardroom.
Typical engagement
Quarterly commitment - 2-3 days/week
Includes:
- Technology roadmap and stack decisions
- Engineering team hiring and mentorship
- CI/CD, DevOps, and deployment architecture
- Technical due diligence for investors
- Cost optimization and vendor management
Technical depth
I don't advise on things I haven't built.
These are the domains where I've shipped production systems, written about the trade-offs, and taught others how to do it.
System Architecture
- Multi-cloud redundancy design
- Event-driven architectures
- Service boundary decisions
- Race condition prevention
Database & Data
- PostgreSQL optimization
- Vector databases for AI workloads
- Migration strategy (zero-downtime)
- Data modeling at scale
AI & Modern Stack
- LLM integration architecture
- MCP and agent frameworks
- AI-assisted development workflows
- LangGraph, ReAct patterns
Laravel & PHP
- Production Laravel at scale
- Inertia.js + modern frontend
- Conference-level community knowledge
- Testing and CI/CD pipelines
Python & Infrastructure
- AWS Lambda and serverless
- Python for backend services
- Resilience patterns (retries, circuit breakers)
- SSE, WebSockets, real-time
Engineering Culture
- Code review practices that scale
- Technical hiring frameworks
- Developer experience (DX) design
- Team structure for growth stages
Who this is for
I work with people who take technology seriously.
CTOs & VP Engineering
You need a second opinion before a major architecture decision. Or your system is showing strain and you need someone who's seen this pattern before to tell you what breaks next.
Startup Founders
You're pre-Series A or B and your first technical hire isn't a CTO. You need someone to set the technical direction, validate your stack, and make sure you're not building technical debt that kills you at 10x scale.
Senior Engineering Leads
You're the most senior person in the room and you need someone to challenge your assumptions, review your RFC, or help your team level up on system design thinking.
Don't take my word for it
My work is public. Judge the thinking, not the pitch.
YouTube - 20K+ subscribers
System design walkthroughs, architecture deep-dives, and practical development tutorials.
Writing - read by engineers across 109 countries
Most-read deep dives, last 90 days
Conference Speaker
Active in the Laravel community. I speak about architecture patterns, testing strategies, and real-world system design. Open to speaking invitations.
Cited by AI
My technical articles are referenced by ChatGPT, Perplexity, Gemini, and Claude - meaning the content is being used to train how engineers think about these problems.
The process
Simple and respectful of your time.
01
Discovery call
30-minute conversation about your challenges, stack, and what you're trying to achieve. No pitch - just listening.
02
Proposal
Within 48 hours, you get a clear scope document: what I'll look at, what you'll get, timeline, and investment.
03
Deep work
I dig into your codebase, architecture, and team workflows. Async-first - I work across timezones with engineering teams globally.
04
Deliver and support
You get the deliverable plus a walkthrough session. I stay available for follow-up questions - I don't disappear after handoff.
Let's talk about your architecture.
No forms, no sales funnel. Send me an email describing what you're working on. If I can help, I'll suggest a discovery call. If I can't, I'll tell you that too.
Typical response within 24 hours
Common questions
Before you reach out
What timezone do you work in?
I'm based in India (IST) but work async-first with teams across the US, Europe, and APAC. My content reaches engineers in 100+ countries - I'm used to distributed collaboration.
Do you write code during engagements?
When needed, yes. Architecture reviews often include proof-of-concept implementations, database schema designs, or example configurations. But the primary value is the thinking, not the typing.
What if my stack isn't Laravel or Python?
Architecture principles are language-agnostic. I've worked with teams running Node, Go, Java, and mixed stacks. If the challenge is system design, I can likely help regardless of language.
What does an engagement cost?
It depends on scope. Architecture reviews are project-priced. Advisory retainers scale with hours. I'm transparent about pricing in the proposal - no surprises after the discovery call.