I started as a software engineer, writing production code for growing companies. Over time, I focused on what founders actually need: AI products that scale, architectures that hold up, and software that businesses rely on.
That's what I do now. I help founders and businesses design, build, and launch production-ready AI SaaS products with modern engineering practices, from MVP to production.
I help founders and businesses design, build, and launch scalable AI products with modern architectures, from MVP to production.
Every project starts with a business problem, not a technology. Here's what that looks like in practice.
Transform technical hiring with AI-driven candidate screening and matching.
Technical hiring is broken: Recruiters spend hours reviewing resumes that don't match requirements
Built an AI hiring platform that automates screening, evaluates technical fit, and ranks candidates by role compatibility.
Accelerate food product innovation with AI-driven R&D and market analysis.
Food product development is slow and expensive: R&D teams spend months on manual formulation research
Built an AI product development platform that automates formulation, compliance, and market analysis for food innovation teams.
Automate invoice processing with 99% accuracy and zero manual entry.
Finance teams drown in manual invoice processing: Hours spent keying invoice data into accounting systems
Built an AI invoice platform that automates extraction, validation, approval routing, and accounting sync.
Deploy AI chatbots trained on your business knowledge in minutes, not months.
Business knowledge is trapped in documents and silos: Support teams answer the same questions repeatedly
Built a RAG platform that ingests business knowledge and deploys AI assistants with accurate, contextual responses.
Never miss a call. Never miss a booking.
Many businesses lose opportunities because: Calls arrive outside business hours
Built an AI Voice Receptionist capable of handling the complete customer call journey, from first ring to confirmed booking.
I work best with owners and operators who are done running on manual processes and want a system that holds up under real volume.
Marketing · Recruitment · Creative
I automate onboarding, reporting, and outreach so your team delivers results instead of managing spreadsheets.
Clinics · Therapists · Specialists
I build systems that capture, qualify, and book patients around the clock, no extra headcount.
Startups · Scale-ups
I automate onboarding, support triage, and internal ops so your team ships product, not data entry.
Law · Accounting · Consulting
I automate client intake, document processing, and follow-up so you spend time on billable work.
Agents · Brokerages
I build systems that respond to inquiries in seconds and qualify buyers before you pick up the phone.
Service · Retail · Hospitality
I build affordable automation that replaces the manual work, available 24/7, without the salary.
Don't see your industry? Message me on Upwork. If a process repeats, I can automate it.
From MVP to production, I design and build AI products with modern architectures and scalable engineering practices.
Design and build complete AI web applications from MVP to production. Modern tech stacks, scalable architectures, and engineering best practices.
Scalable backend systems, databases, queues, APIs, vector search, authentication, billing. Built for real-world volume and growth.
OpenAI, Anthropic, Gemini, DeepSeek. Vector databases, RAG, agents, structured outputs, function calling. Production AI systems.
Vapi, Twilio, Deepgram, ElevenLabs. Real-time telephony, scheduling, human handoff. Voice AI that handles real calls.
n8n, background jobs, integrations, webhook architecture. When AI needs to connect your systems and automate processes.
Docker, AWS, GCP, CI/CD, monitoring, scaling. Production deployment with observability and reliability.
A clear path from initial concept to deployed AI SaaS product.
Free · 30 minutes
We map your product requirements, technical constraints, and business goals. You leave with a clear architecture plan and realistic timeline. No pitch, no commitment.
4–8 weeks for MVP
I design and build your AI product from scratch, engineered for scale from day one. Modern stack, clean architecture, working prototypes throughout. You see progress every week.
Done for you
We deploy to production, run end-to-end testing, and hand off with complete documentation. I stay available for the first 30 days to handle tuning and edge cases. Most products run smoothly within days.
Everything I build is engineered for real-world scale, not demos. Clean code, proper error handling, monitoring, and documentation from the start.
Structured outputs, fallback handling, input validation, and comprehensive testing. Production AI needs to work when data varies and edge cases arise.
Fast communication, clear architecture decisions, and pragmatic trade-offs. You work directly with the engineer building your product, no account managers.
The discovery call is free. Most founders find it useful even if they don't hire me.
Book on UpworkYes. I help founders turn AI ideas into production MVPs in 4-8 weeks. From architecture to deployment, you get a scalable foundation you can build on.
Yes. I integrate all major LLM providers and can help you choose the right model for your use case. I also handle vector databases, RAG pipelines, and prompt optimization.
Yes. I build AI agents with tools, memory, and structured outputs. From simple workflows to multi-agent systems, I engineer agents that handle real tasks reliably.
Yes. I build production voice AI products with Vapi, Twilio, and real-time speech-to-speech. Appointment booking, customer support, phone agents. 24/7 voice automation.
Yes. I work with existing codebases to add AI capabilities without rewrites. Whether it's features, infrastructure, or architecture, I integrate AI into your product.
Yes. I can architect the system and work alongside your team, or build everything and hand off with documentation. I prioritize clean, maintainable code your team can extend.
I build for the real world, not demos. Structured outputs, fallback handling, monitoring, and testing at every stage. Production AI needs to work when data varies.
Most AI SaaS MVPs go from idea to production in 4-8 weeks, depending on scope. You'll see working prototypes throughout, so there are no surprises at launch.
Message me on Upwork, invite me to your job, or hire me directly. We'll map out where your business is losing time, and what to do about it.
Get Started on Upwork