You will get Custom Computer Vision Models for Classification, Detection & Segmentation
Project details
You will get a professional computer vision solution using state-of-the-art deep learning models for image classification, object detection, and segmentation. I leverage YOLO, Mask R-CNN, U-Net, EfficientNet, and Faster R-CNN to build accurate models that detect, classify, and segment objects in images or videos.
Whether your goal is product recognition, defect detection, medical image analysis, or real-time object detection, I deliver models that are highly accurate, optimized, and deployment-ready. My services include data preprocessing, model development, evaluation, visualization, and full documentation, ensuring your results are actionable and easy to integrate into your workflow.
What sets my work apart is the combination of deep learning expertise, computer vision experience, and practical deployment solutions, giving you a robust end-to-end pipeline for your visual data needs.
Whether your goal is product recognition, defect detection, medical image analysis, or real-time object detection, I deliver models that are highly accurate, optimized, and deployment-ready. My services include data preprocessing, model development, evaluation, visualization, and full documentation, ensuring your results are actionable and easy to integrate into your workflow.
What sets my work apart is the combination of deep learning expertise, computer vision experience, and practical deployment solutions, giving you a robust end-to-end pipeline for your visual data needs.
Machine Learning Tools
Amazon SageMaker, GitHub Copilot, Google AutoML, GPT-3, Keras, MATLAB, Microsoft Excel, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Tesseract OCR, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 4 days | 2 days | 3 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 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Suresh
AI Engineer | GenAI, NLP | Scalable, Cost-Efficient Systems
Karachi, Pakistan - 6:04 am local time
I bridge the gap between data science and business strategy, combining predictive analytics, automation, cost-aware engineering, and cloud-based deployments to help organizations:
Transform raw data into actionable insights
Enhance decision-making with predictive, generative, and agentic AI
Reduce operational costs through intelligent AI systems
Core strengths include:
Designing and deploying scalable ML, DL & AI workflows in Python
Leveraging NLP, LLMs, embeddings, RAG, AI agents, and vector databases for real-world applications
Implementing cloud-based AI deployments on AWS for robust, scalable solutions
Applying predictive analytics to solve business-critical challenges
Building systems optimized for both performance and cost efficiency
I thrive at the intersection of technology and business impact, delivering solutions that optimize processes, unlock value, and create tangible results.
I’m passionate about learning, building, and collaborating to innovate and deliver measurable business impact
Steps for completing your project
After purchasing the project, send requirements so Suresh can start the project.
Delivery time starts when Suresh receives requirements from you.
Suresh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review client’s dataset, project goal, and performance needs.
Data Preparation
Clean, preprocess, and augment images/videos for training.