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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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
Expert AI Engineer & Python| LLM | Computer Vision (YOLO, ViT) | MLOps
100%
Job Success
Lahore, Pakistan - 5:02 am local time
I am an Expert AI Engineer with 5+ years of experience designing, building, and deploying production-ready AI solutions. I bridge cutting-edge research with real-world business impact, having worked with Microsoft on Python-based AI productivity research projects. My mission is to deliver high-performance, scalable systems in LLM, RAG, NLP, Computer Vision, and MLOps that drive real business value.
Core Technical Expertise:
LLM & NLP: LLM-powered applications, RAG-based AI assistants, document reasoning, knowledge retrieval, Transformers, BERT-style architectures, embedding models, semantic search, prompt engineering, fine-tuning, domain adaptation, and hallucination reduction.
Computer Vision: High-performance systems using YOLO, Vision Transformers (ViT), OpenCV, CNNs, object detection, image segmentation, and real-time inference engines optimized for accuracy and low latency.
Full Stack AI: End-to-end products with Python, PyTorch, FastAPI, React, MongoDB, Firebase, REST APIs, and real-time data pipelines.
MLOps & Cloud: Deployment on Streamlit Cloud, Hugging Face Spaces, AWS, and Azure with emphasis on scalability, monitoring, observability, and CI/CD.
Engineering & Reliability:
Testing & Validation: Benchmarking, statistical testing, ablation studies, bias evaluation, robustness testing, and failure mode analysis.
Architecture: Clean architecture design, advanced debugging, model explainability, and translating complex AI concepts into trustworthy production systems.
Generative AI: Multimodal AI and diffusion-based generative models for cross-modal reasoning across text, images, and structured data.
Why Clients Choose Me:
Production Focus: I deliver tested, optimized models ready for live environments, not just prototypes.
Track Record: Top Rated status with a 5.0 rating, known for clear communication, rapid problem-solving, and on-time delivery.
Collaboration: Effective partner for startups, research teams, and enterprise clients.work with Microsoft in msft research coding (python) base project
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.