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Real systems we've built, modernized, or scaled. Focused on architecture, performance, and long-term maintainability.

System_Architecture_v1.0
FinTech / Payments

Legacy Monolith to Microservices

The Problem

A 10-year-old PHP monolith was causing 4h+ downtimes during peak transaction windows. Deployment cycles took 2 weeks due to regression testing fears.

What We Built

We implemented a Strangler Fig migration, peeling off high-volume endpoints to Node.js lambdas while keeping the core ledger operational.

Technical Highlights

  • >> Zero downtime during data migration
  • >> Implemented circuit breakers for failure isolation
  • >> Automated contract testing between services

Outcome

Transaction throughput increased 300%. Deployment frequency went from bi-weekly to daily.

Node.jsAWS LambdaDynamoDBDocker
System_Architecture_v2.0
Healthcare Admin

Multi-Tenant SaaS Portal

The Problem

Existing client portal was slow and insecure. Client needed to serve 500+ clinics with strict data isolation and HIPAA compliance requirements.

What We Built

Built a Next.js App Router platform with Row Level Security (RLS) in Postgres. Implemented a custom RBAC system for granular permissions.

Technical Highlights

  • >> Sub-second page loads via React Server Components
  • >> Strict multi-tenant logical isolation
  • >> Real-time notifications for patient updates

Outcome

Onboarded 50 new clinics in Month 1. SOC2 audit passed with zero critical findings.

Next.js 14Supabase (Postgres)React QueryTailwind
System_Architecture_v3.0
LegalTech

AI Legal Document Analysis

The Problem

Paralegals were spending 20h/week manually tagging scanned PDFs. Off-the-shelf AI wrappers were hallucinating critical dates.

What We Built

Engineered a RAG (Retrieval Augmented Generation) pipeline using disjoint chunking and vector search to ground LLM responses in fact.

Technical Highlights

  • >> Custom PDF parsing pipeline for OCR accuracy
  • >> Citation layer: AI points to exact source page
  • >> Human-in-the-loop review interface

Outcome

Reduced manual review time by 80%. Accuracy improved to 99.5% with human verification.

PythonLangChainPineconeOpenAI API

What We Typically Build

Multi-tenant SaaS platforms
Internal admin dashboards & portals
Legacy application modernization
API-first backend systems
AI-assisted workflows (production)

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