You will get Production-Ready AI Models: Computer Vision, NLP & Predictive Systems
Rising Talent
Rising Talent
Project details
Machine Learning Engineer & AI Systems Architect
I deliver production-ready AI systems from concept to deployment, managing the full lifecycle with measurable results.
Services:
End-to-end model development: preprocessing, architecture design, training, fine-tuning, validation
Production deployment: scalable APIs (Flask/FastAPI), Docker, cloud integration (AWS/GCP/Azure)
Documentation testing: code comments, model cards, performance metrics, validation on real data
Expertise:
Computer Vision: image classification, object detection, medical imaging, video analysis (ResNet, YOLO, CNNs)
NLP: sentiment analysis, text classification, language models, chatbots (BERT, Transformers, LSTMs)
Predictive Analytics: regression, forecasting, recommendation, anomaly detection
Advanced AI: RAG systems, autonomous agents, multimodal models, LLM fine-tuning
Proven Track Record:
Medical imaging: 93% accuracy on 5,863 X-rays
Sentiment analysis: 88% accuracy, 200ms inference
Translation platform: 50K+ requests/sec
University chatbot: 6,324+ active users
All projects include production-ready code, deployment-ready solutions, performance reports, documentation, and post-delivery support.
I deliver production-ready AI systems from concept to deployment, managing the full lifecycle with measurable results.
Services:
End-to-end model development: preprocessing, architecture design, training, fine-tuning, validation
Production deployment: scalable APIs (Flask/FastAPI), Docker, cloud integration (AWS/GCP/Azure)
Documentation testing: code comments, model cards, performance metrics, validation on real data
Expertise:
Computer Vision: image classification, object detection, medical imaging, video analysis (ResNet, YOLO, CNNs)
NLP: sentiment analysis, text classification, language models, chatbots (BERT, Transformers, LSTMs)
Predictive Analytics: regression, forecasting, recommendation, anomaly detection
Advanced AI: RAG systems, autonomous agents, multimodal models, LLM fine-tuning
Proven Track Record:
Medical imaging: 93% accuracy on 5,863 X-rays
Sentiment analysis: 88% accuracy, 200ms inference
Translation platform: 50K+ requests/sec
University chatbot: 6,324+ active users
All projects include production-ready code, deployment-ready solutions, performance reports, documentation, and post-delivery support.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, Google AutoML, GPT-3, Keras, Kubeflow, MATLAB, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$149
|
Standard
$299
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $70
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$5
Additional Scenario
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 2 Days)
+$8
Model Documentation
(+ 2 Days)
+$8
Data Source Connectivity
(+ 2 Days)
+$8Frequently asked questions
About Muhammad
Principal AI Architect | Autonomous Systems & Enterprise RAG
Bat Khela, Pakistan - 1:59 am local time
I bridge the gap between high-level research and production-grade reliability. My work has been featured in INTERSPEECH and I have successfully deployed systems serving 6,300+ active users with sub-3s latency.
Core Strategic Pillars:
Autonomous Multi-Agent Systems: Specialized in "Orchestrator-Worker" architectures that allow AI to use tools, search the web, and execute multi-step tasks independently.
Enterprise RAG & Knowledge Intelligence: High-accuracy retrieval systems with citation-backed grounding and 100% uptime fallback logic for mission-critical data.
Multimodal NLP & Computer Vision: Specialized in clinical-grade medical imaging (93% accuracy) and low-resource language processing (Pashto/Urdu Voice AI).
Production MLOps: Cloud-agnostic deployment (AWS/GCP/Azure) using Kubernetes and Docker, ensuring your AI scales as your business grows.
I don't just write code; I design systems with Maximum Reliability and High ROI. Whether you need a clinical-grade diagnostic tool or a self-operating AI department, I deliver production-ready solutions.
Available for architectural consulting and end-to-end system development. Let’s discuss your vision.
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.
Client Submits Requirements
The client provides project details, datasets (if applicable), and specific requirements for the model or analysis.
Initial Review & Planning
I review the requirements, clarify any doubts, and outline the approach to ensure alignment with project goals.