Syed Mahsam A.

I build AI agents, RAG search and LLM features into production SaaS, in Next.js and Python, shipped by one senior engineer. Top Rated Plus, $500K+ earned. Recent: an AI lead-qualification layer that cut review time from 10 minutes to under 30 seconds across 10,000+ leads. I'm a full-stack engineer with 11+ years of experience, working in Python and TypeScript: Django, FastAPI and Flask on the backend, React, Next.js and Angular on the frontend, with LLM and agent features built into the product rather than bolted on. RECENT WORK - DP360: an enterprise CRM where I built the AI layer. GPT-4o reads each lead and conversation, summarizes it, classifies buying intent and suggests the next step, cutting review time from about ten minutes to under thirty seconds across 10,000+ leads and 20+ businesses. - Signal House: a live, 10DLC-compliant messaging platform I built as sole developer, including three production AI agents that return structured output so downstream systems never parse free-form model text. - Brisbane Gateway: a production RAG system for an Australian holiday resort. Live, sole developer. - Ascent RegTech: a regulatory intelligence platform on Django and PostgreSQL with a deeply relational data model. - CoverAI: a subscription AI product I designed and built from frontend through billing. WHAT YOU GET - Full-stack SaaS products: multi-tenant dashboards, role-based access, billing, third-party integrations - AI features: LLM integration (OpenAI, Anthropic Claude), RAG over vector databases (Pinecone, pgvector), agents (LangGraph, CrewAI), and MCP servers and connectors - Agentic development with Claude Code, with every diff reviewed before it ships - Workflow automation in n8n and Make, with custom Python where no-code runs out - Legacy modernization: APIs, tests and automation around systems that are hard to change STACK Python (Django, FastAPI, Flask), React, Next.js, Angular, TypeScript, PostgreSQL, Supabase, Redis, AWS, GCP, Docker, Kubernetes, CI/CD HOW I WORK I ask questions the same day instead of building on guesses, read every diff, and validate AI-generated logic against real data before it ships. AVAILABILITY Based in the UAE, available for US-hour overlap (9am–2pm ET) Send me two or three lines about what you're building and I'll reply with how I'd approach it.