Muhammad Adil Malik

Full Stack Developer

Services

AI Automation

Agents and workflows that save time — not just demos.

I build AI that plugs into your real tools: CRM, docs, forms, and ops. Clear ROI first, then reliable agents, RAG, and automation you can monitor in production.

  • Agents that call your tools and APIs
  • RAG grounded in your own documents
  • CRM & QuickBooks connections
  • Logging, guardrails, and cost control

Built with

Next.jsReactNode.jsOpenAIAWS

What you get

Clear coverage — no jargon wall

Skim the pieces that matter for your project. Each one is a practical outcome, not a blog essay.

01

AI that pays for itself

We start with the workflow, the data you have, and the risk you cannot take. Then we automate what actually saves time — not what looks flashy in a demo.

02

AI agents

LangChain / LangGraph agents that plan steps, call tools, and stop for human review when stakes are high.

03

Answers from your data

RAG pipelines so responses stay tied to your docs and policies — without training a custom model from scratch.

04

Workflow automation

Queues and event-driven flows for lead routing, approvals, reporting, and sync between systems.

05

Business tool integrations

Connect Salesforce, HubSpot, Pipedrive, QuickBooks, and custom APIs so AI works where your team already works.

06

Built for production

Monitoring, retries, fallbacks, and spend controls so automation stays reliable after the first week.

Capabilities

How I help you ship

Practical skills wrapped around your product — not a shopping list of buzzwords.

AI Agents

Tool-calling agents with human checkpoints when needed.

RAG Systems

Answers grounded in your documents and knowledge base.

Workflow Automation

Event and queue workflows that cut manual ops work.

CRM Integration

Lead handling and activity sync with major CRMs.

QuickBooks Integration

Invoicing, expenses, and finance workflows automated.

Process Automation

End-to-end flows across the tools you already use.

How we work

A simple path from idea to launch

Four steps. Regular demos. No mystery process.

  1. 01

    Talk goals

    We clarify what success looks like, who the users are, and what already exists. You leave with a clear scope and timeline.

  2. 02

    Plan the build

    I map screens, data, APIs, and hosting before heavy coding starts — so there are no surprises later.

  3. 03

    Build in steps

    You see working pieces each sprint. We adjust priorities as we learn, without rewriting from scratch.

  4. 04

    Launch & hand off

    I deploy, set up monitoring, and walk your team through the codebase so you can keep moving after launch.

Proof

Work in this space

Real products — not mock case studies.

GetPerformance AI

Coaching agents + RAG over training content — cut coach admin time by about 60%.

AI Survey Translation System

Multilingual surveys with context-aware translation across 20+ languages.

View project

AI Form Generator

Natural language to structured forms — form setup roughly 75% faster.

AI Support Chatbot

Docs-grounded support agent with clean handoff to humans when needed.

FAQ

Quick answers

Straight answers so you can decide if we should talk.

Chatbot vs AI agent?+

A chatbot answers messages. An agent can take multi-step actions with your tools. Use agents when you need real work done — not only chat.

How do you keep AI reliable?+

Structured outputs, fallbacks, human review for high-risk steps, logging, rate limits, and cost dashboards.

Can you connect our CRM or accounting tools?+

Yes — Salesforce, HubSpot, Pipedrive, QuickBooks, and custom APIs with secure auth and safe sync.

What is RAG?+

It pulls relevant pieces of your own content at ask-time so answers stay accurate to your business — without full model fine-tuning.

Next step

Ready to talk about your product?

Tell me what you are building. I will reply with a clear take on approach, timeline, and whether I am the right fit.