We design, build, and deploy AI-powered SaaS platforms for startups and companies — often in weeks, not months. One senior architect. Full-system ownership. No handoffs.
The idea isn't the problem. It's how the product gets built.
Calling an LLM API takes an afternoon. Building reliable prompt chains, context windows, memory systems, hallucination guardrails, and token cost optimization — that takes an architect.
Hiring a frontend dev, backend dev, AI specialist, and DevOps engineer means 4 people who need to communicate perfectly. They won't. Your timeline doubles.
Most AI SaaS projects take 3-6 months with a team. By then you've burned through budget and runway without validating whether users even want it.
Agencies and junior developers build things that work in a demo but collapse under real traffic, real data, and real edge cases. You inherit their technical debt.
You don't need a team. You need one engineer who has architected and shipped 50+ production AI systems — and can do it again for you in weeks.
15 years of production patterns means nothing gets reinvented. Your MVP launches in 1-2 weeks. Full platforms in 3-4.
One person owns architecture, AI integration, backend, frontend, infrastructure, and deployment. No handoffs. No gaps.
You receive deployed, scalable infrastructure with clean code, full documentation, and complete source ownership. Built to grow with your business.
Every engagement delivers a deployed, documented system you own completely.
Full-stack SaaS applications with LLM integration, RAG pipelines, vector search, user authentication, payment processing, and scalable cloud infrastructure. From database to deployed product.
2-4 WeeksAI-powered pipelines that automate data processing, content generation, analysis, and decision-making. Connect to your existing tools via APIs. Reduce hours of manual work to minutes.
1-2 WeeksComplex systems where multiple AI agents collaborate — each with specialized roles, shared memory, and coordinated decision-making. Built with Google ADK, LangChain, and custom orchestration.
3-6 WeeksValidate your idea with a real, deployed product — not a mockup. Full authentication, core features, AI integration, and cloud deployment. Ship fast, learn fast, iterate.
1-2 WeeksNot concepts. Not prototypes. Deployed systems processing real data and serving real users.
Therapeutic AI platform with 17+ specialized agents using Google ADK + Vertex AI. Real-time WebSocket sessions, two-tier memory architecture, and CI/CD pipeline on Google Cloud.
Fully automated LLM multi-agent trading architecture. BigQuery ML + Vertex AI ARIMA+ forecasting with 120+ technical indicators. High-frequency data pipeline processing live market data.
Educational platform with AI-powered personalized learning paths, real-time progress analytics, and scalable infrastructure serving thousands of concurrent students.
Data pipelines processing 1B+ eCommerce records for sentiment analysis and market intelligence. Built for enterprise clients including Rio Tinto and Caterpillar's global operations.
Every engagement follows the same pattern: understand the problem, design the system, deliver measurable results.
Existing chatbot solutions couldn't handle nuanced therapeutic conversations or remember patient history.
Built 17 specialized AI agents with two-tier memory (session + long-term), real-time WebSocket delivery, and clinical safety guardrails.
Manual analysis couldn't keep up with market speed. Needed real-time signals across hundreds of indicators.
Designed multi-agent trading architecture with BigQuery ML forecasting, ARIMA+ models, and automated execution via Binance API.
Existing tools couldn't handle the volume. Manual analysis was impossible at scale.
Engineered scalable ETL pipelines with NLP-powered sentiment analysis, serving enterprise clients like Rio Tinto and Caterpillar.
A structured, milestone-based process refined across 50+ production deployments.
Share what you need. I'll deliver a free working prototype and a fixed-price architecture proposal with clear milestones.
System design, AI model selection, data pipeline planning, and infrastructure architecture. You approve the blueprint before a line of code is written.
Rapid development with weekly demos. You see working software at every checkpoint — not slide decks or status reports.
Production deployment, documentation, source code handover, and knowledge transfer. You own everything 100%.
30 minutes. We'll review your product idea, map out the AI architecture, and give you an honest assessment of timeline and feasibility.
Not ready for a call? Send your requirements directly — I'll respond with a free working prototype and architecture proposal.
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