You will get Production-Ready AI Agents That Automate Your Workflows End to End
Project details
I build production AI agents that complete real work end to end, not chatbots that answer questions and stop. These are agents that read documents, classify data, trigger actions, and move processes forward without manual intervention at every step.
Recent work includes an AI loan origination system where agents classify any document type including W-2s, bank statements, 1040s, paystubs, and IDs, extract the data, and move loans forward automatically. Another system detects hailstorms in real time, maps affected zones, identifies homeowners, and stages outreach, then schedules jobs and dispatches crews end to end.
Whether you need a single agent automating one task, a multi-step workflow connecting several tools, or a full multi-agent system running an entire process, the approach is the same: understand exactly what the workflow looks like today, then build the agent around it rather than forcing a generic template.
Built with LangChain, LangGraph, and production-grade orchestration including error handling, monitoring, and evaluation frameworks where needed.
Send me your workflow and I will tell you exactly what an agent for it would look like.
Recent work includes an AI loan origination system where agents classify any document type including W-2s, bank statements, 1040s, paystubs, and IDs, extract the data, and move loans forward automatically. Another system detects hailstorms in real time, maps affected zones, identifies homeowners, and stages outreach, then schedules jobs and dispatches crews end to end.
Whether you need a single agent automating one task, a multi-step workflow connecting several tools, or a full multi-agent system running an entire process, the approach is the same: understand exactly what the workflow looks like today, then build the agent around it rather than forcing a generic template.
Built with LangChain, LangGraph, and production-grade orchestration including error handling, monitoring, and evaluation frameworks where needed.
Send me your workflow and I will tell you exactly what an agent for it would look like.
AI Algorithms
Gated Recurrent Unit, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer ModelAI Applications
AI-Enhanced Classification, AIOps, Anomaly Detection, Conversational AI, Image Analysis, Image Processing, Image Recognition, Natural Language Generation, Natural Language Understanding, Object Detection, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 4 days | 9 days | 17 days |
Number of Revisions | 1 | 2 | 2 |
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 |
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DG
Darren G.
Jun 26, 2026
Ongoing devops and development support
BA
Bernard A.
Dec 27, 2025
DevOps Support
Great Engineer
BA
Brb A.
Mar 3, 2025
Senior DevOps Engineer with AWS and AI Expertise
the best Devop i know!! he is very good and put a lot of dedication. will keep working with him in the future for sure!
AR
Ali R.
Jan 13, 2025
AWS Infrastructure Projects
I had the pleasure of working with Haroon on the AWS Infrastructure Project, and he exceeded all expectations. Within the first 24 hours of our initial conversation, he delivered the entire design draft, even with significant time zone differences and without requiring upfront payment. Haroon continued to work diligently, completing the project in a short time frame while maintaining the highest quality of work. I cannot recommend him enough—his dedication and expertise deserve a 200% recommendation! Without a doubt, I will rehire him for any future projects.
DG
Darren G.
Nov 22, 2024
Ongoing devops and development support
Great job! Haroon was instrumental in figuring out a very complicated devops process. I would not have been able to get my project off the ground without him! I highly recommend him even for the most complicated devops engineering tasks.
About Haroon
AI Engineer | RAG, LangGraph Agents, ML , LLMOps & Automation
100%
Job Success
Peshawar, Pakistan - 11:21 am local time
Most clients I work with have the same story: a promising AI project, a clear vision, and a developer or agency that either over-promised, under-delivered, or disappeared halfway through. The prototype worked. Production never happened.
That’s the gap I close.
I build production AI systems at a very compressed timelines for startups, enterprises and government agencies, from sovereign model architecture to backends, cloud infrastructure, deployment, and monitoring.
Over the last 8 years, I’ve shipped AI systems and solutions across fintech, fashion tech, logistics, PropTech & enterprise SaaS. As a Certified AWS Solutions Architect and Certified K8s Admin, I handle the full stack AI architecture, backend engineering, cloud infrastructure, deployment, and MLOps so nothing falls through the cracks between model and production.
🌟 Recent AI work:
🔸 Personalized AI recommendation system for a US Gen Z fintech platform ~1M active users
🔸 Fine-tuned Llama model for clothing attribute extraction for a New York based fashion marketplace
🔸 RAG systems for document search, knowledge bases, and intelligent retrieval
🔸 LangGraph multi-agent systems for complex, multi-step workflow automation
🔸 Computer vision pipelines for object detection, visual QA, and image automation
🔸 ML models for classification, personalization, search ranking, and recommendations
🌟 What I build:
🔸 AI SaaS products and MVPs
🔸 RAG chatbots and document intelligence tools
🔸 LLM agents and workflow automation
🔸 Fine-tuned Open Weight LLM / ML models
🔸 Computer Vision Systems
🔸 Recommendation and personalization engines
🔸 FastAPI backends for AI products
🔸 MLOps infrastructure on AWS, Docker, Kubernetes, and CI/CD pipelines
🔸Sovereign and private AI deployments
I focus on systems that actually work in production with correct retrieval, reliable outputs, edge case handling, real-world scale, and maintainability after launch. Not demos. Not prototypes that stall.
If you have an AI product you’re building and want a straight answer on feasibility, architecture, timeline, and the fastest reliable path to production, send me a message. No pitch. Just an honest conversation.
RAG | LangChain | LangGraph | CrewAI | OpenAI API | GPT-4o | Claude API | LLM Fine-Tuning | Pinecone | Vector Databases | Hugging Face | PyTorch | Computer Vision | YOLO | NLP
n8n | Make | Zapier | VAPI | AI Voice Agents | AWS | Kubernetes | Docker | FastAPI | Python
Steps for completing your project
After purchasing the project, send requirements so Haroon can start the project.
Delivery time starts when Haroon receives requirements from you.
Haroon works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review & Workflow Mapping
Review your requirements, sample data, and tool access. Map out the exact workflow steps the agent needs to handle, including decision points and edge cases.
Architecture & Tool Integration Setup
Set up the agent architecture using LangChain/LangGraph, connect required APIs and tools (CRM, database, email, etc), and configure access credentials.