RAG assistants and agents
Assistants that answer from a company's own documents and live tools, with retrieval over pgvector and actions exposed through MCP.
I build RAG assistants, voice agents, MCP integrations, n8n automations, FastAPI backends.
I build production AI systems end to end: RAG assistants, MCP integrations, ElevenLabs voice agents and n8n automation, plus the FastAPI backends and Next.js frontends that put them in front of users.
- Python
- FastAPI
- OpenAI API
- Claude API
- ElevenLabs
- MCP
- n8n
- PostgreSQL
- Redis
- Supabase
- AWS
- Next.js
- React
- TypeScript
- Tailwind CSS
- Node.js
- Express
- Linux
- Salesforce
- Meta Graph API
- Asana
- Google Docs API
- business workflows automated with n8n
- 15+
- less manual operations across client accounts
- 70%
- processing accuracy on enterprise data pipelines
- 99.5%
- shipping AI systems in production
- 1+ yr
(01) Capabilities
What I build
Voice agents
Production ElevenLabs voice agents backed by FastAPI tool endpoints and an MCP server, for live, real-time conversations.
Workflow automation
n8n pipelines that connect CRMs, call platforms and documents to LLMs, so the busywork between tools runs on its own.
Backends and frontends
The FastAPI services and Next.js interfaces that put the AI in front of users, with auth, rate limiting and deployment on AWS.
(02) Selected work
All 11 projects Systems in production
(03) ExperiencePython Developer
Full background Python Developer
at Axioware Solutions
Sep 2025 - Present
Karachi, Pakistan
- 01
Designed and deployed AI-powered automation with n8n across 15+ business workflows, reducing manual operations by 70% across client accounts.
- 02
Built backend services with FastAPI, PostgreSQL and Redis, including JWT authentication, rate limiting and auto-scaling infrastructure on AWS.
- 03
Integrated GoHighLevel, Salesforce and the Meta Graph API with OpenAI and Claude into unified data pipelines, maintaining 99.5% processing accuracy across multiple enterprise accounts.
- 04
Shipped production ElevenLabs voice agents backed by FastAPI tool endpoints and an MCP server, deployed on AWS EC2 for live, real-time conversations.
(04) Toolbox
The periodic table of my stack
- AI & Automation
- LLMs
- RAG
- LLM agents
- MCP
- n8n
- OpenAI API
- Claude API
- ElevenLabs
- Prompt engineering
- Vector search (pgvector)
- Backend
- Python
- FastAPI
- Node.js
- Express
- REST APIs
- JWT auth
- Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
- HTML/CSS
- Cloud & Data
- AWS (EC2, S3, CloudFront)
- Linux
- CI/CD
- PostgreSQL
- Redis
- Supabase
- Integrations
- GoHighLevel
- Salesforce
- Meta Graph API
- Asana
- Fathom
- Maqsam
- Google Docs API
(05) Contact
Building LLM-powered products? Let's talk.
I am looking for an AI Engineer role building LLM-powered products. Email is the fastest way to reach me, and my CV is one click away.