You will get a Custom ML Model Fine-Tuned for Your Data, Built for Production
Project details
I build generative AI features into apps and platforms, from a single LLM-powered feature to a full product. Fine-tuned a custom LLM for a fintech platform with one million users (covered by TechCrunch, Forbes, and Business Insider) to generate personalized investment recommendations based on real user financial data. Also built an AI document intelligence system for a mortgage platform where the model classifies documents, extracts data, and powers a social finance feed.
Whether you need AI-generated content, personalized recommendations, document understanding, or a custom-tuned model for your specific domain, the approach is the same: understand what output quality you actually need, choose the right model and fine-tuning approach, and build it into a real app people use, not just a demo.
Full stack capability across Python backends and Flutter, React, or Swift frontends, so the AI feature ships as part of a working product, not a standalone script.
Tell me what you want the AI to do and I will tell you what is realistic and what it takes to get there.
Whether you need AI-generated content, personalized recommendations, document understanding, or a custom-tuned model for your specific domain, the approach is the same: understand what output quality you actually need, choose the right model and fine-tuning approach, and build it into a real app people use, not just a demo.
Full stack capability across Python backends and Flutter, React, or Swift frontends, so the AI feature ships as part of a working product, not a standalone script.
Tell me what you want the AI to do and I will tell you what is realistic and what it takes to get there.
Machine Learning Tools
ChatGPT, GPT-3, Keras, NumPy, OpenCV, pandas, Python, PyTorch, XGBoostWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 16 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 9 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
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 - 4:32 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.
Use Case & Scope Definition
Review your requirements and define exactly what the AI feature needs to produce, including quality benchmarks and edge cases to handle.
Model Selection & Setup
Choose the right model and approach (prompting, fine-tuning, or custom training) based on your use case, budget, and quality requirements