I will custom ai agents, rag pipelines, chatbots and intelligent automations

K
khuzaimakt
K
khuzaimakt
Khuzaima

About this gig

There's a wide gap between a chatbot that demos well and an AI system you can actually trust with real work. I build the latter.


On the agentic side, I design and build multi-agent workflows using LangChain and LangGraph where LLMs plan, delegate, and execute tasks autonomously, with proper guardrails so they don't go off the rails when inputs are messy or unexpected. RAG pipelines are built for accurate retrieval and grounded responses, not just semantic similarity that sounds plausible. Production chatbots get real memory management, context handling, and observability through LangSmith so you can trace exactly what happened when something doesn't behave as expected.


For automation, I use n8n, Zapier, and Make to connect your tools and eliminate the manual steps that slow your team down, lead qualification flows, AI-powered customer journeys, internal process automation. The goal is always systems that are robust enough to run without babysitting, and transparent enough that you can actually see what they're doing

Get to know Khuzaima

Khuzaima

I help businesses generate revenue by leveraging Software, AI and Data

  • FromPakistan
  • Member sinceMar 2023
  • Languages

    English
I've been building at the intersection of software engineering and AI for years. The pattern that kills most AI projects isn't a bad idea, it's bad engineering underneath one. Models with no guardrails. Pipelines assuming clean data. Automations held together with hope. What I bring that most can't is the full picture. I'm not a data scientist who needs a dev team to ship, and not an engineer who treats models as black boxes. I own the whole thing, architecture, backend, frontend, AI, deployment, monitoring.