I'm your startup CTO for backend & scalable systems.
10+ years architecting backend systems and cloud infrastructure. I partner with founders to build reliable products and fix systems that are breaking.
Worked with startups and production systems handling real-world scale.
Systems handling 10k+ requests/sec
Proven track record of architecting scalable systems for millions of users.
Engineering for Business Outcomes
Technical decisions driven by ROI, speed to market, and strategic goals, not just code.
Production systems used by real users
Experience building and maintaining high-stakes platforms in live environments.
Strategic Technical Partnership
I provide senior technical leadership for startups that need to move fast without breaking things.
Fractional CTO / Tech Partner
I take ownership of your technical roadmap, architecture, and execution — so you can focus on building the business.
View serviceMVP to Production Systems
Building high-performance products that don't need a rewrite in 3 months. I bridge the gap between prototype and scale.
View serviceFix & Scale Broken Systems
If your system is slow or unstable, I step in to rescue the codebase, clean up technical debt, and unlock developer velocity.
View serviceAI Systems & Automation
Integrating practical AI (LLMs, RAG, Agents) into your workflow to drive real efficiency and measurable value.
View serviceHow I Work
Problem Discovery
I identify bottlenecks in your current system and product direction. I start by understanding your business model to ensure we solve the right problems.
System Design
I architect systems that scale from day one. Deep expertise in cloud infra, database design, and resilient backend systems.
Rapid Execution
Shipping improvements in days/weeks, not months. We ship fast and iterate based on real feedback to drive rapid outcomes.
Legacy & Stability
I ensure your tech stack is robust enough for long-term growth, documented, and maintainable by your future engineering team.
Ownership Mindset
I don't just write code; I own the problem and the outcome.
Speed + Execution
Moving fast without breaking the things that actually matter.
Founder's Focus
Every line of code I write is tied to your business goals.
Focus on the product , not just the task.
Most engineers focus on completing tickets. I focus on making sure the system actually works, scales, and supports the business goal.
I don't just follow specs — I think like a founder. Every decision I make is tied to performance, cost, and long-term maintainability.
My Engineering PrinciplesTechnical Case Studies
Solving high-stakes problems with measurable technical impact.
Global Fintech Infrastructure
[Technical Deep Dive Available]
Re-architecting a monolithic payment gateway into a resilient, microservices-based infrastructure capable of handling massive spikes in transaction volume.
- Successfully scaled to 10,000+ transactions per second.
- Achieved 99.99% uptime through multi-region deployment.
AI-Powered CRM Ecosystem
[Technical Deep Dive Available]
Integrating custom LLM agents into a legacy CRM to automate lead qualification and personalizing customer outreach at scale.
- Automated 70% of the initial lead qualification process.
- Increased lead conversion rate by 40%.
Technical Insights
Insights on backend systems, scaling, startup engineering, and real-world technical challenges.
RAG vs Fine-Tuning: The Production Engineer's Decision Framework
RAG vs fine-tuning for LLMs: a practical decision framework covering cost, latency, accuracy, update frequency, and implementation complexity for production AI systems.
HIPAA for LLMs: Minimum Necessary Logging (Metadata-First, PHI-Safe)
HIPAA applies to AI logs too. Learn a metadata-first logging architecture that preserves debuggability while minimizing PHI exposure (request IDs, hashes, retrieval references, and reason codes).
SLOs for Product Teams: Error Budgets That Keep AI and APIs Reliable
A practical guide to defining user-centric SLOs/SLIs and using error budgets as a decision engine for reliability—especially when AI features add new failure modes.
Model Context Protocol (MCP) Explained: The Standard That's Changing How AI Agents Access Tools
MCP (Model Context Protocol) is fast becoming the USB-C of AI tooling. Learn what it is, why it matters, and how to integrate it into your AI agent architecture in 2026.
Let's build something that actually works — and scales.
Typically respond within 24 hours
Best suited for founders and teams building serious products. Whether you need a fractional CTO, a technical audit, or a complex build from zero to one.
Startup CTO & Tech Consulting Services
As an experienced startup CTO and tech consultant I partner with founders to bridge the gap between business vision and technical execution. Whether you are navigating the complexities of backend systems design, optimizing cloud infrastructure, or implementing Scalable DevOps pipelines, I provide the high-level expertise needed for mission-critical platforms.
My work focuses on building production-grade tech systems that handle millions of users and high-throughput data. From technical debt rescue to AI-first product development, I ensure every engineering decision drives ROI, security, and long-term maintainability for Seed-to-Series B startups.