Hamza A.

I'm a senior full-stack engineer with 9 years of production experience, specializing in healthcare SaaS and AI/LLM engineering with LangChain and LangGraph. Recent work: • Enterprise behavioral-health telehealth platform (Rails 7 + NestJS + Python FastAPI AI service on Terraform/K8s) with FHIR, HL7, e-prescribing, and integrations to Healthie, Athena Health, and Stream Chat • AI-powered legal research platform (FastAPI + LangChain + Azure OpenAI) with 7 specialized chain types, NDJSON streaming, and semantic + vector hybrid search over court judgments • Real estate data analytics platform with a multi-agent LangChain system that translates natural language to Elasticsearch queries, backed by pgvector and DuckDB • Two-sided dental staffing marketplace (Rails 7.1 + Stripe Connect + HubSpot bidirectional sync) with 48 Sidekiq workers, DMA-based geographic matching, and materialized-view-powered provider search I'm strongest on: • Healthcare SaaS — HIPAA-conscious telehealth, FHIR, e-prescribing (DoseSpot, Ayva Treat, Athena Health), clinical workflows, complex state machines • AI engineering — LangChain, LangGraph, RAG pipelines, multi-agent orchestration, streaming responses, production-ready LLM features • Marketplaces & multi-tenant SaaS — Stripe Connect, two-sided platforms, subscription billing, HubSpot/Salesforce/QuickBooks integrations • Full-stack — Rails (5.2 → 8.0), Next.js, React, TypeScript, PostgreSQL, Sidekiq, Redis, AWS (Terraform), Heroku, Vercel I'm good at stepping into existing codebases, understanding what's there, and shipping without breaking anything. Comfortable with 10-file startups and 10,000-file enterprise monoliths — I've done both in the last year. Ideal projects: Healthcare SaaS builds or rescues, AI feature integration (RAG, chat, agent workflows), Rails modernization, marketplace/payment architecture, production LLM engineering