You will get Machine Learning, Object Detection and, Computer Vision application
Project details
Ready to level up with machine learning or computer vision? I offer tailored end-to-end services—whether you need simple models, advanced pipelines, or enterprise-grade integration—all crafted in Python, just for your business or research challenge.
🔹 What’s Included:
Custom Models: Classification & regression—Random Forest, Gradient Boosting, SVM, Neural Nets
Computer Vision: Image recognition, object detection, defect detection, OpenCV & deep learning
Preprocessing: Data cleaning, feature engineering, handling missing values, basic EDA
Comparison & Tuning: Hyperparameter tuning for best results
Deployment: Delivery as code/script, interactive app, or simple API
🔹 Use Cases:
✔️ Predictive analytics (churn, demand, risk)
✔️ Computer vision (retail, quality control, healthcare)
✔️ Data pipelines for clean, ready-to-use datasets
🔹 Why Choose Me?
Clear, modular code and prompt communication
Beginner-friendly solutions with simple explanations
Builds using Python, scikit-learn, TensorFlow, PyTorch, OpenCV, and more
👉 Let’s turn your business idea into a real ML-powered solution—no jargon, just results.
🔹 What’s Included:
Custom Models: Classification & regression—Random Forest, Gradient Boosting, SVM, Neural Nets
Computer Vision: Image recognition, object detection, defect detection, OpenCV & deep learning
Preprocessing: Data cleaning, feature engineering, handling missing values, basic EDA
Comparison & Tuning: Hyperparameter tuning for best results
Deployment: Delivery as code/script, interactive app, or simple API
🔹 Use Cases:
✔️ Predictive analytics (churn, demand, risk)
✔️ Computer vision (retail, quality control, healthcare)
✔️ Data pipelines for clean, ready-to-use datasets
🔹 Why Choose Me?
Clear, modular code and prompt communication
Beginner-friendly solutions with simple explanations
Builds using Python, scikit-learn, TensorFlow, PyTorch, OpenCV, and more
👉 Let’s turn your business idea into a real ML-powered solution—no jargon, just results.
Machine Learning Tools
Keras, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 3 | 5 | 7 |
Number of Graphs/Charts | 3 | 5 | 7 |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $200Frequently asked questions
About Samith
Machine Learning Engineer | Computer Vision Engineer | Python Expert
Abu Dhabi, United Arab Emirates - 8:20 am local time
𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀
• End-to-end ML pipelines: EDA, preprocessing, modeling, evaluation, deployment
• Classification, regression, and predictive modeling
• Time-series forecasting & trend analysis
• Hyperparameter tuning, model stacking, cross-validation
• Feature engineering & workflow automation
• API deployment (FastAPI/Flask), containerization (Docker)
- 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
• Image classification (CNNs, Transfer Learning)
• Object detection & tracking (YOLOv8)
• Video analytics, segmentation, annotation workflows
• Custom deep learning architectures (PyTorch, TensorFlow)
• Image preprocessing & augmentation
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸
Python · Scikit-Learn · PyTorch · TensorFlow · OpenCV · YOLOv8 · Pandas · NumPy · XGBoost · LightGBM · Matplotlib · Seaborn · FastAPI · Docker
𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲
• Clean, production-ready code that’s easy to maintain
• Clear, proactive communication and regular progress updates
• Deep understanding of ML theory and real-world engineering
• Strong ability to translate business needs into technical solutions
• Experience leading end-to-end ML project workflows
𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀
(Full portfolio: 𝘨𝘪𝘵𝘩𝘶𝘣.𝘤𝘰𝘮/𝘴𝘢𝘮𝘪𝘵𝘩𝘤𝘴𝘢𝘤𝘩𝘪)
• 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗼𝗿: Built and deployed a Flask application to predict student math scores with robust ML pipeline
• 𝗥𝗔𝗚 𝗕𝗼𝗼𝗸 𝗤𝗔 𝗦𝘆𝘀𝘁𝗲𝗺: Developed a GenAI-powered app for instant technical book Q&A using retrieval-augmented generation
• 𝗛𝗲𝗮𝗿𝘁 𝗥𝗮𝘁𝗲 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗼𝗿: Created an end-to-end ML pipeline with model development, MLOps integration, and CI/CD deployment
• 𝗔𝗶𝗿 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗛𝗲𝗮𝗹𝘁𝗵 𝗔𝗹𝗲𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: Developed a Streamlit dashboard for real-time air quality risk alerts in the USA
• 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Compiled a diverse collection of practical ML projects in Python and other technologies
• 𝗞𝗮𝗴𝗴𝗹𝗲 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝘀: Published multiple machine learning notebooks on Kaggle competitions and datasets
𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗠𝗟 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻?
Let’s work together to develop your next machine learning model, computer vision application, or deploy scalable AI-powered APIs. Message me to discuss your project needs and discover how I can help deliver results.
Steps for completing your project
After purchasing the project, send requirements so Samith can start the project.
Delivery time starts when Samith receives requirements from you.
Samith works on your project following the steps below.
Revisions may occur after the delivery date.
Project Details & Data
Client sends project goals and uploads dataset or sample files.
Initial Requirements Review
I review requirements and confirm project scope. Clarify questions if needed.