You will get production-ready computer vision system for images or video data
Project details
You will get a production-ready computer vision system designed specifically for your image or video data, whether your goal is object detection, tracking, classification, segmentation, OCR, or real-time video analytics.
I am an AI/ML Engineer specializing in Computer Vision and Deep Learning, with industrial and hands-on experience building scalable CV solutions using modern frameworks like PyTorch, TensorFlow, OpenCV, and ONNX. I focus not just on model accuracy, but also on performance, reliability, and real-world deployment.
What sets my project apart is a problem-driven approach. I start by understanding your business use case, data constraints, and deployment environment (cloud, edge, or on-prem). Then I design and train a model optimized for speed, accuracy, and maintainability, not just research-level results.
You will receive clean, well-documented source code, validated models, and clear guidance on how to use or integrate the solution into your product or workflow. Whether you’re a startup, enterprise, or research team, my goal is to deliver a solution that actually works in production, not just a demo.
I am an AI/ML Engineer specializing in Computer Vision and Deep Learning, with industrial and hands-on experience building scalable CV solutions using modern frameworks like PyTorch, TensorFlow, OpenCV, and ONNX. I focus not just on model accuracy, but also on performance, reliability, and real-world deployment.
What sets my project apart is a problem-driven approach. I start by understanding your business use case, data constraints, and deployment environment (cloud, edge, or on-prem). Then I design and train a model optimized for speed, accuracy, and maintainability, not just research-level results.
You will receive clean, well-documented source code, validated models, and clear guidance on how to use or integrate the solution into your product or workflow. Whether you’re a startup, enterprise, or research team, my goal is to deliver a solution that actually works in production, not just a demo.
Machine Learning Tools
Keras, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$300
|
Standard
$650
|
Advanced
$1,100
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 6 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Real-Time Video Optimization
(+ 3 Days)
+$200
YOLO / Custom Detector Fine-Tuning
(+ 4 Days)
+$250
Performance & Accuracy Report
(+ 6 Days)
+$150Frequently asked questions
About Muhammad
AI & ML Engineer | Production-Ready ML Systems | Deep Learning
Lahore, Pakistan - 2:39 am local time
As an experienced AI / Machine Learning Engineer, I specialize in building end-to-end intelligent systems; from data engineering and model development to deployment, monitoring, and optimization. I work with startups and enterprises to design scalable, explainable, and reliable AI solutions, not just experiments or research prototypes.
🧠Core Expertise
🤖 Machine Learning & AI Development
• Custom ML / Deep Learning model development and optimization
• Predictive analytics and demand forecasting systems
• Risk modeling and intelligent optimization algorithms
• Production-grade AI system architecture and ML pipelines
đź“Š Data Engineering & Science
• Advanced feature engineering and data preprocessing
• Statistical analysis and exploratory data analysis (EDA)
• Time-series forecasting and anomaly detection
• A/B testing frameworks and experimentation design
🚀 Deployment, MLOps & Infrastructure
• AI-powered REST APIs and microservices
• Model deployment using Docker and Kubernetes
• Cloud infrastructure: AWS, GCP, Azure
• MLOps: monitoring, logging, explainability, and lifecycle management
• Inference optimization and performance tuning
🛠️ Technology Stack
Languages & Frameworks
Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow, Keras
Data & Storage
PostgreSQL, MySQL, Redis, Feature Stores, Data Warehousing
APIs & Services
FastAPI, Flask, RESTful APIs
DevOps & Cloud
Docker, Kubernetes, CI/CD pipelines, AWS, GCP, Azure, Model Versioning
ML Tooling
Jupyter, MLflow, Weights & Biases, Hyperparameter Tuning, AutoML
âś… My Approach
• ✅ Problem-first thinking — business goals before models
• ✅ Explainable AI — interpretable systems stakeholders trust
• ✅ Clean architecture — scalable, maintainable code
• ✅ Production mindset — reliability, performance, long-term stability
• ✅ Clear communication — regular updates and collaboration
🔬 Advanced Research & Niche Expertise
â—Ź Hybrid Quantum-AI systems, QUBO optimization models, quantum-inspired algorithms, and applied research in quantum machine learning for complex optimization problems.
â—Ź Quantum Machine Learning (QML): Practical algorithm development using Variational Quantum Circuits (VQC), VQE, QLSTM and QAOA via Pennylane or Qiskit for optimization and simulation problems.
📩 Let’s discuss how I can help you build AI systems that create a real competitive advantage.
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.
Requirement Analysis & Data Review
I analyze your requirements, review dataset quality, define evaluation metrics, and select the most suitable computer vision approach.
Model Design & Training
I design and train a deep learning model using modern CV frameworks with proper preprocessing, augmentation, and validation.