You will get a deep learning computer vision model for image detection & classification

Let a pro handle the details

Buy Machine Learning services from Muhammad Fasih, priced and ready to go.

Let a pro handle the details

Buy Machine Learning services from Muhammad Fasih, priced and ready to go.

Project details

I'll train a deep learning computer vision model on your images (detection, classification or segmentation), tuned for the error that actually costs you money, and delivered ready to run.

WHAT YOU GET
✔ Trained CNN / YOLO / transfer-learning model in PyTorch or TensorFlow
✔ Data augmentation to squeeze performance out of small datasets
✔ Threshold tuning toward precision or recall. Your call, not a default
✔ Full evaluation: mAP, precision, recall, confusion matrix, sample outputs
✔ Inference script or API + ONNX export for fast / edge deployment
✔ Documentation covering architecture, training config and limitations

USE CASES
Quality inspection and defect detection, OCR and document extraction, medical imaging support, retail shelf and product recognition, safety and PPE monitoring, agricultural and satellite imagery.

PROCESS
1. Send sample images and describe what needs detecting
2. I'll tell you honestly if your dataset is large enough before you pay
3. Train, evaluate, deliver with inference code

WHY ME
Top 10% on Upwork. 100+ projects delivered. Under 1 hour response time.

Message me with sample images and your dataset size.
Machine Learning Tools
TensorFlow
What's included
Service Tiers Starter
$60
Standard
$90
Advanced
$150
Delivery Time 4 days 8 days 10 days
Number of Revisions
235
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
Source Code
-
Optional add-ons You can add these on the next page.
Additional Revision
+$10

Frequently asked questions

Muhammad Fasih U.Status: Offline

About Muhammad Fasih

Muhammad Fasih U.Status: Offline
DataScience|Data Analysis|Machine Learning|Data Visualization|Python|R
Islamabad, Pakistan - 8:27 pm local time
✅ Top 10% Talent on Upwork – AI, Data Science & Machine Learning Expert
🎖️ 2+ Years of Experience | 100+ Projects Delivered
⏱️ Under 1 Hour Response Time | Cross-Industry Expertise
🌐 Supporting Startups, Enterprises & Tech Teams Worldwide

🚀 Unlock the Power of Data with Expert AI & Data Solutions

I help businesses build AI-powered products, automate workflows, and extract actionable insights. With hands-on experience in machine learning, cloud deployment, and analytics, I deliver scalable, production-ready solutions tailored to your goals.

🎯 Looking to develop smart AI systems, automate decision-making, or launch powerful dashboards? Let’s get started.

💡 Core Expertise Areas

🔹 Generative AI and LLM Applications (GPT, RAG, Fine-tuning)
🔹 Predictive Modeling and Business Intelligence
🔹 Deep Learning (Computer Vision, NLP, Transformers)
🔹 Custom AI Chatbots and Natural Language Understanding
🔹 ML Ops, Cloud Deployment, and CI/CD Automation
🔹 Advanced Data Pipelines and Data Warehousing
🔹 Real-time KPI Dashboards and Performance Tracking

🛠️ Skills I Possess

💻 Programming & Libraries
👉 Python (NumPy, Pandas, Scikit-learn, Polars, TensorFlow, Keras)
👉 R
👉 SQL (PostgreSQL, MySQL, SQLite)

📊 Machine Learning Techniques & Statistics
👉 Regression, Gradient Boosting, Maximum Likelihood Estimation
👉 Probabilistic Graphical Models, Deep Learning
👉 Hyperparameter Tuning, Feature Engineering

⚙️ Data Processing & Engineering
👉 Apache Spark, Python Polars, AWS Glue
👉 Apache Airflow, dbt, Mage

📈 Visualization & Dashboards
👉 Tableau, Looker Studio, Power BI, Seaborn, Plotly

☁️ Cloud & Infrastructure
👉 AWS (S3, Lambda, SageMaker, Athena)
👉 GCP (BigQuery, Vertex AI)
👉 Docker, Streamlit, CI/CD

📦 Databases & Storage
👉 PostgreSQL, MySQL, SQLite
👉 AWS Athena, GCP BigQuery
👉 Data Lakes and Warehouse Architecture

💼 Services I Offer

🤖 ML/AI Product Development
👉 Transform your ML vision into a clear product plan with a defined roadmap and timeline.

🧪 Machine Learning & Data Software Engineering
👉 I can start from scratch or quickly integrate into your existing project. I specialize in optimization, scalability, and fast delivery within 24 hours.

☁️ Cloud Development
👉 Deploy, monitor, and optimize ML or data pipelines in AWS or GCP environments.

📊 Business Intelligence & Automation
👉 Build intelligent dashboards and automate your business processes to unlock time and efficiency.

📈 Technical Stack Summary

🧠 Languages: Python, R, SQL
🧠 Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, Polars, Hugging Face
🧠 Visualization Tools: Looker Studio, Tableau, Power BI, Seaborn, Plotly
🧠 Cloud Platforms: AWS, GCP
🧠 Deployment: Docker, Streamlit, CI/CD
🧠 Workflow Tools: Apache Airflow, Mage, dbt
🧠 Databases: BigQuery, Athena, PostgreSQL, MySQL

🌟 Why Clients Choose Me

✅ Scalable and Production-Ready Solutions
✅ Business-Aligned AI and Data Strategies
✅ Fast Onboarding with Clear Communication
✅ Thorough Documentation and Smooth Handoff
✅ SEO-Friendly, High-Performance Deliverables
✅ Agile Collaboration and Frequent Progress Updates

🎯 Ideal If You Need

🔍 Generative AI or Custom LLM Integration
🔍 Full-Stack Machine Learning Solutions
🔍 Real-Time KPI Dashboards
🔍 Predictive Analytics or Time Series Forecasting
🔍 Chatbots and NLP-Driven Tools
🔍 Automated Business Workflows
🔍 Deep Learning in Vision or Language
🔍 Data Pipelines using dbt, Airflow, Glue
🔍 Cloud-Based Deployment and MLOps

📨 Ready to turn your data into intelligence and automation? Message me today and let’s build something impactful together.

Steps for completing your project

After purchasing the project, send requirements so Muhammad Fasih can start the project.

Delivery time starts when Muhammad Fasih receives requirements from you.

Muhammad Fasih works on your project following the steps below.

Revisions may occur after the delivery date.

Dataset review & feasibility

I review your images and tell you honestly whether the dataset supports the accuracy you need. If there are too few examples of a class, you hear it before training starts.

Labelling check & augmentation

I verify or prepare the labels, then build the augmentation pipeline: rotation, lighting, scale and crop variation that makes a small dataset behave like a much larger one.

Review the work, release payment, and leave feedback to Muhammad Fasih.