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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Lead Full-Stack Engineer
Daniel has 10 years of full-stack development experience with deep expertise in React, Node.js, and PostgreSQL. He has led the technical delivery of 30+ enterprise products across fintech, logistics, and e-commerce verticals.
Your multi-tenancy model is the highest-leverage SaaS decision you'll make. Get it wrong and you'll pay in re-architecture and compliance failures.
After 18 React Native and 14 Flutter apps across healthcare and fintech, our view contradicts most online comparisons.
RAG connects LLMs to your private data. Here's how it works, when to use it, and why it's become the default architecture for enterprise AI.
Production RAG is more than a vector database and an LLM. Here's the complete architecture for RAG systems that work at scale.
PostgreSQL with pgvector is a production-ready vector database for RAG. Here's the architecture that simplifies your stack and reduces costs.
pgvector is powerful but needs proper configuration for production. Here's the indexing, tuning, and scaling guide for production RAG.
Chunking is the most underappreciated factor in RAG quality. Here are the strategies that improve retrieval 40%+ over naive approaches.
Semantic search misses exact matches. Keyword search misses intent. Hybrid search catches both. Here's the architecture.
Multi-tenant RAG requires per-tenant data isolation, per-tenant knowledge bases, and per-tenant model configuration. Here's the architecture.
Multi-tenant AI SaaS adds AI-specific challenges to standard multi-tenancy. Here's the architecture for per-tenant AI at scale.
Healthcare Document AI extracts structured data from intake forms, insurance claims, clinical notes, and discharge summaries — reducing manual data entry by 70-90%.
AI patient workflow automation handles intake, scheduling, follow-up, and care coordination — reducing administrative burden and improving patient experience.
AI school management systems automate attendance, fee collection, admissions, and parent communication — reducing administrative burden by 60-80%.
AI admissions automation processes applications, extracts document data, verifies eligibility, and manages the application workflow — reducing admissions time by 60-70%.
AI attendance automation tracks student attendance via face recognition, geofencing, or QR codes — reducing teacher admin by 85% and improving accuracy.
AI fee collection automation sends payment reminders, tracks payments, handles escalation, and generates financial reports — reducing collection time by 40-60%.
Building a mobile app for a SaaS platform means different constraints than consumer apps. Here's our framework for deciding when React Native is the right choice.
Patient booking systems need to handle scheduling conflicts, cancellations, and reminders. Here's the architecture pattern that makes it reliable.