You will get finetuned llms, You will get secure deployed AI models LLMs local GPU
Rising Talent
Rising Talent
Project details
Absolute Data Privacy: We specialize in deploying open-weights models (Llama-3, Mistral, Qwen) onto fully isolated private cloud VPS, dedicated on-premise GPU clusters, or local hardware. Your operational data never leaves your network.
Advanced Finetuning Pipelines: Expert implementation of LoRA, QLoRA, and custom Whisper Speech-to-Text architectures trained on your proprietary data sets.
Production-Grade Web Backends: We don't just hand over a raw model. We build robust application layers and low-latency API gateways using Django and Flask/FastAPI, ready to support concurrent production traffic.
Turnkey DevOps Hardening: Every delivery includes full Docker containerization, Nginx reverse proxies, UFW firewalls, and 100% intellectual property ownership transfer
Advanced Finetuning Pipelines: Expert implementation of LoRA, QLoRA, and custom Whisper Speech-to-Text architectures trained on your proprietary data sets.
Production-Grade Web Backends: We don't just hand over a raw model. We build robust application layers and low-latency API gateways using Django and Flask/FastAPI, ready to support concurrent production traffic.
Turnkey DevOps Hardening: Every delivery includes full Docker containerization, Nginx reverse proxies, UFW firewalls, and 100% intellectual property ownership transfer
Machine Learning Tools
Amazon SageMaker, ArcGIS, Azure Machine Learning, BERT, Chainer, ChatGPT, Cloudera, fastText, Fiddler.ai, GitHub Copilot, Google Sheets, Keras, Microsoft CNTK, Microsoft Excel, MLflow, NumPy, NVIDIA AI Platform, OpenCV, Oryx 2, PyTorch, RapidMiner, scikit-learn, Shogun Toolbox, SQL, TextBlobWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 20 days | 50 days | 60 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Source Code
(+ 5 Days)
+$300
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SM
Simbarashe M.
Aug 11, 2026
Machine Learning Research Fellow - Maternal & Perinatal Health AI (CDC Dataset)
Muhammad delivered a complete, well-engineered deep learning pipeline and a full manuscript draft on a demanding multi-site histopathology dataset. His technical execution was strong, his code was clean and reproducible, and he handled a difficult dataset structure without fuss. He communicated clearly, responded constructively to editorial feedback, and brings his own research ideas forward. Recommended for machine learning and medical imaging work.
AG
Andrew G.
Jun 26, 2026
Python Developers for AI Productivity Research Study
SP
Stavros P.
Apr 26, 2026
Training Session on Claude Cowork with Real Use Cases
He was very informative
About Muhammad
AI Production Engineer | LLM, Computer Vision, MLOps & AWS Expert
100%
Job Success
Lahore, Pakistan - 4:39 am local time
For Startups, I help move from idea to prototype to production quickly with AI MVPs, SaaS products, LLM applications, AI copilots, AI agents, agentic workflows, RAG-based knowledge systems, AI-powered automation, FastAPI Python backend development, and cloud deployment.
For Enterprises, I build AI solutions that integrate with existing business infrastructure including Enterprise RAG, knowledge assistants, LLM integration, fine-tuning, AI agents, workflow automation, document intelligence, NLP, semantic search, computer vision systems, model deployment, MLOps, AWS, Docker, FastAPI, production APIs, and n8n Zapier AI automation. My focus is not simply building a demo — I build systems that are maintainable, secure, scalable, and ready for real users.
For Researchers, I work on research-oriented ML and AI projects requiring reproducibility, rigorous experimentation, and technical documentation including deep learning research, computer vision, NLP, LLM research, Vision Transformers, YOLO, object detection, medical imaging, dataset preparation, model training, evaluation, reproducible ML pipelines, and research implementation. I have delivered deep learning pipelines and research manuscripts for demanding datasets, including multi-site medical imaging research.
My core AI expertise covers Generative AI, LLMs, RAG, AI Agents, Agentic Workflows, Prompt Engineering, LLM Fine-tuning, NLP, Semantic Search, AI Copilots, Computer Vision, PyTorch, OpenCV, YOLO, Vision Transformers, Image Classification, Object Detection, Medical Imaging, Production, MLOps, Python, FastAPI, Docker, AWS, Model Deployment, API Development, and Automation.
I combine research-level AI knowledge with production software engineering. I don't just train a model or connect an API — I think about the complete system: architecture, data, evaluation, deployment, scalability, and business impact. This includes direct experience working with Microsoft (MSFT) as a developer on Upwork.
If you need someone to research a difficult AI problem, build an AI MVP, modernize an existing AI system, or take an AI product into production, I can help. Let's build an AI system that creates measurable value for your business or research.
Please ensure the Microsoft collaboration claim aligns with your actual contract history on the platform.
Would you like me to adjust the tone to be more technical or more business-focused for a specific niche?
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Ingestion
We begin by aligning on your security requirements. Our team designs the data pipeline, prepares your dataset for custom finetuning, and configs the foundational Django/Flask scaffolding alongside the network architecture.