Muhammad A.

I am a Senior Full-Stack AI Developer with over a decade of experience building production SaaS platforms, AI applications, and complex web products.

I help startups and businesses build AI SaaS platforms, AI agents, RAG/document intelligence systems, workflow automation, and production-ready web applications. I also take over existing or AI-generated codebases, fix technical issues, and move MVPs into production.

Full-Stack & SaaS Development

• SaaS platforms and MVP development
• Next.js, React, Node.js, NestJS & TypeScript
• Python & FastAPI backend development
• PostgreSQL, Supabase & MongoDB
• Multi-tenant SaaS architecture
• Authentication, RBAC & user management
• Stripe subscriptions and usage-based billing
• REST APIs, webhooks & third-party integrations

AI, LLMs & Automation

• OpenAI, Claude/Anthropic & AWS Bedrock
• AI agents and workflow automation
• Retrieval-Augmented Generation (RAG)
• Embeddings, vector search & knowledge bases
• PDF/document processing and OCR
• Structured AI extraction and classification
• AI integrations into existing SaaS products

Selected Experience

GovDoc AI — AI document intelligence platform where I worked on AI/backend functionality including RAG, document processing, OpenSearch, AWS Bedrock, OpenAI and Claude.

Executioner — AI agents and workflow automation platform connecting LLMs with real application workflows and backend systems.

LumnBio — Healthcare platform involving backend and AI functionality around health and lab information.

SafetyTalent — Took over an existing production codebase, fixed technical issues, and continued development to stabilize and complete the application.

ScoreHub — Production sports platform involving real-time data and data-driven application functionality.

My core stack includes Next.js, React, TypeScript, Node.js, NestJS, Python, FastAPI, PostgreSQL, Supabase, MongoDB, AWS, Docker and Vercel.

I also work with AI-assisted development tools including Claude Code, Cursor, Base44, Lovable and Replit, and can take an AI-generated MVP and turn it into a maintainable production application.