Utilizes a hybrid vector search using Azure OpenAI embeddings and pgvector. Enables natural language discovery (e.g., "organic coffee") with sub-500ms latency, handling complex entity relationships.
Built with Next.js 15 (App Router), React 19, and NestJS 11. Deployed via Azure Container Apps with auto-scaling and a rigid CI/CD pipeline using Bicep infrastructure-as-code.
Over the past decade, I have architected solutions across fintech, e-commerce, and heavy operations. My background covers the full stack of web technologies.
Before pivoting to AI Agents, I built end-to-end web applications for 10 years. This engineering background ensures your automation tools are robust, secure, and user-friendly.
View Project ArchiveCommon patterns I deploy for B2B SaaS teams.
Automate 80-90% of lead management. AI sequencing, smart follow-ups (only if no reply), and response detection to flag high-intent leads.
Stop updating Excel manually. Auto-generate invoices from CRM data, track payments through Stripe, and sync expenses.
For support teams answering the same question 20x/day. Instant answers from your knowledge base, smart triage to humans.
Extract structured data from receipts, invoices, or photos sent via WhatsApp/Email. OCR + AI parsing to auto-populate CRM.
Discuss your specific bottleneck and get a fixed-price roadmap.
Book Technical Review