Services & Offerings

I specialize in building production-grade AI systems and highly scalable backends. Whether you need to automate customer support or build a high-performance SaaS backend, I deliver solutions focused on actual business outcomes.

💬

AI WhatsApp Business Agent

PKR 50k–150k | Intl: $500–$2000+

Enterprise WhatsApp automation platform with multi-tenant architecture, webhook management, and real-time message routing.

The Problem

Your sales or support team is drowning in repetitive WhatsApp queries, leading to slow response times, lost leads, and 24/7 staffing costs.

The Solution

A custom LLM-powered WhatsApp agent that can answer FAQs, capture leads, book appointments, and sync directly with your CRM or Google Sheets.

ROI: Automates 80% of customer interactions. Reduces response time to seconds, driving higher conversion rates.
FastAPISupabaseEvolution APIOpenAI
View TarkaBot
📚

Company Knowledge Base (RAG)

PKR 50k–200k | Intl: $500–$2500+

Secure, private AI that instantly answers questions based on your internal documents, SOPs, and policies.

The Problem

Employees spend hours searching through scattered Google Drive folders, Notion docs, and PDFs to find critical information.

The Solution

We ingest all your documents into a vector database (Pinecone/Chroma) and build a Retrieval-Augmented Generation (RAG) interface.

ROI: Saves employees up to 2 hours per day. Instantly onboard new hires with an AI that knows everything about your company.
LangChainVector DBsNext.jsPython

FastAPI Backend Engineering

Starting at PKR 100k / $1000+

High-performance, scalable REST APIs and microservices designed for modern web apps and AI wrappers.

The Problem

Your current backend is slow, monolithic, or cannot handle the complex async operations required by modern AI tools.

The Solution

I architect scalable backends using FastAPI, PostgreSQL, Docker, and Redis, complete with secure JWT Auth and Role-Based Access Control.

ROI: Handles thousands of concurrent requests smoothly. Reduces cloud costs through efficient async execution.
FastAPIPostgreSQLRedisDocker
View ExportShield Pro
🎯

AI Lead Qualification System

Custom Scope

An automated pipeline that chats with leads, scores them, and routes high-intent prospects to humans.

The Problem

Your sales pipeline is clogged with unqualified leads, wasting the time of your most expensive human closers.

The Solution

An omnichannel AI bot (Web/WhatsApp) that asks qualifying questions, assigns a lead score, and schedules a call only if they pass.

ROI: Increases sales team efficiency by 50%. Focus only on high-value prospects ready to close.
OpenAIZapier/MakeCRM APIs
🧠

AI Internal Knowledge Assistant

Custom Scope

Domain-specific intelligence tailored for Software Houses, HR Departments, and Universities.

The Problem

Managing huge volumes of internal wikis, student guidelines, or HR policies is a nightmare. Generic RAG systems fail to understand complex internal compliance and context.

The Solution

A dedicated internal knowledge assistant tuned specifically for your organization's domain. It provides highly accurate, cited answers from your specific private documents and internal wikis.

ROI: Eliminates 90% of redundant internal HR, student, or dev-support queries. Dramatically accelerates onboarding and compliance checking.
PythonLlamaIndexQdrantFastAPI

My Engineering Process

I treat freelance projects like product engineering. Here is how we get from an idea to a production-grade system.

1. Discovery & Scope

We start with a deep dive into your business bottleneck. I don't just ask what you want to build; I ask what business problem we are solving.

2. Architecture & Strategy

I map out the technical architecture (FastAPI, Postgres, LLM providers) and create a robust data flow diagram to ensure scalability from day one.

3. MVP Development

I build the core functionality first. You get a working prototype quickly to validate the idea and test the AI's core capabilities.

4. Feedback & Refinement

We iterate based on your feedback. I fine-tune the prompts, adjust the RAG logic, and polish the user interface.

5. Production Deployment

The system is containerized with Docker and deployed securely to your preferred cloud (Vercel, DigitalOcean, AWS) with CI/CD pipelines.

6. Handover & Support

You receive full documentation, video walkthroughs, and post-launch support to ensure everything runs flawlessly.

Ready to automate your bottleneck?

Let's get on a 15-minute discovery call to discuss your business processes and see where AI can save you time and money.

Send me an Email
Muhammad Ahsaan Ullah © 2026
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