You will get a custom AI agent that automates a workflow with your tools and APIs
Project details
I build AI agents that actually do the work, not demos that fall over the first time they hit a real edge case.
I lead a production AI platform where a LangGraph agent runs across 59 role-scoped tools, with model routing, fallback, and cost controls. I'll build you the same kind of thing, scoped to one workflow you want automated.
What you get:
An agent wired to your tools and APIs, doing a real task end to end
Human-approval gates where they matter, so it never acts blind
Retrieval over your docs if it needs your knowledge
Guardrails, cost controls, and monitoring on the higher tiers
Full source code, docs, and a walkthrough. No lock-in.
You work directly with me, the engineer who builds it. For larger builds I bring in a small vetted team, under my review.
Not sure of the scope? Message me first and I'll tell you honestly whether an agent is the right call, and which tier fits.
I lead a production AI platform where a LangGraph agent runs across 59 role-scoped tools, with model routing, fallback, and cost controls. I'll build you the same kind of thing, scoped to one workflow you want automated.
What you get:
An agent wired to your tools and APIs, doing a real task end to end
Human-approval gates where they matter, so it never acts blind
Retrieval over your docs if it needs your knowledge
Guardrails, cost controls, and monitoring on the higher tiers
Full source code, docs, and a walkthrough. No lock-in.
You work directly with me, the engineer who builds it. For larger builds I bring in a small vetted team, under my review.
Not sure of the scope? Message me first and I'll tell you honestly whether an agent is the right call, and which tier fits.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, Conversational AI, Image Recognition, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$700
|
Standard
$1,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
About Talal
AI Engineer | LLM, RAG & Agentic Systems
Islamabad, Pakistan - 7:21 pm local time
I'm the lead engineer of a live six-service US InsurTech platform. I built its first AI assistant from scratch (OpenAI GPT-4 with RAG) in 2024, then led its rebuild into a LangGraph agentic system with 59 role-scoped tools on a Qdrant vector database, with model routing, cost controls, and guardrails. Around it I built the FastAPI microservices, a SvelteKit and TypeScript app with 277 endpoints, a BigQuery analytics pipeline, and the observability and security stack that keeps it all running.
That's the difference I bring. I don't just wire up an LLM and hand you a notebook. I ship the security, testing, tracing, and cost governance that keep an AI feature working once real users hit it.
What I can build for you:
RAG and agentic assistants that reach production: permission-aware retrieval, reranking, tool use, model fallback
AI added to an existing product, without a rebuild
A flaky AI feature made production-safe: evals, guardrails, tracing, cost control
Stack: Python, FastAPI, TypeScript and SvelteKit, LangChain and LangGraph, OpenAI and Gemini, Qdrant, Google Cloud, Docker.
For anything sizeable I'd suggest starting with a short scoping call so we map exactly what you need before you commit.
Steps for completing your project
After purchasing the project, send requirements so Talal can start the project.
Delivery time starts when Talal receives requirements from you.
Talal works on your project following the steps below.
Revisions may occur after the delivery date.
Scope the workflow and integrations
We agree the exact task, what success looks like, the tools and APIs involved, and where you stay in the loop. You get a short build plan before I write any code.
Build the agent core
I set up the model, the planning and tool-calling loop, and the prompts. I wire in the first one or two tools and get a basic run working end to end.