You will get AutoML Solutions: Tailored Model Selection, Training & Deployment & More
Project details
Unlock the power of AI for your business with my tailored AutoML solutions. With over five years of experience in the domain, I've assisted numerous enterprises in achieving data-driven insights and automation. What sets me apart? I am committed to delivering a solution that's both state-of-the-art and business-centric. I ensure that every model I build aligns perfectly with your strategic objectives, offering robust performance and actionable insights. Dive into the future confidently, knowing your ML projects are backed by deep expertise and a passion for excellence.
Machine Learning Tools
Amazon SageMaker, ChatGPT, H2O, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, XGBoostWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$3,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 20 days | 15 days | 10 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 2 | 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
+$400
Additional Revision
+$350
Additional Model Variation
(+ 3 Days)
+$150
Additional Scenario
(+ 7 Days)
+$450
Data Source Connectivity
(+ 5 Days)
+$550
API Design and Deployment
(+ 7 Days)
+$1,000
Advanced Model Interpretability
(+ 4 Days)
+$700
Real-time Monitoring & Alerts
(+ 6 Days)
+$1,000Frequently asked questions
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SA
Steve A.
Oct 8, 2025
Sagemaker Consulting - One Hour To Start
Excellent work
SM
Seth M.
Jan 26, 2025
Sagemaker Deploy and Setup
I will say finding real talent on Upwork is challenging who are genuinely senior, gifted and capable. Rafal is that resource. Extremely experienced, the real deal and he shows up like an owner not a contractor. He calls out things that don’t make sense and pushes for the right solution especially in teams. Strongly recommend
AH
Adam H.
Jan 24, 2025
30 minute consultation
Rafal has an incredibly strong command of his area of expertise. He was extremely helpful in not only fulfilling the goal but in bringing me along on the learning journey. I would highly recommend him.
RM
Ricards M.
Sep 11, 2024
Code review and development
True professional. Fast, clever and always goes for the solution, helped us to solve big challenge that no one else could.. Higly recommend.
BO
Bert O.
Mar 24, 2024
Sagemaker ML pipeline creation consultation
Rafal was very helpful! I appreciated how everything was broken down and explained. I had a goal in mind and Rafal was able to help me visualize the architecture needed and pull to make it happen.
About Rafal
AI/ML Engineer | Computer Vision & AWS SageMaker Specialist
100%
Job Success
Rzeszow, Poland - 11:08 am local time
Business-Centric Development: I deeply understand your business to craft solutions that align perfectly with your challenges and opportunities, ensuring innovation is impactful and economical.
Complimentary Consultation: Begin our collaboration with clarity. Schedule a one-hour consultation to discuss your needs and how I can contribute.
Resourceful Execution: Equipped with a high-performance server optimized for training deep learning models, including medium-scale object detection and transfer learning for LLM models.
Measurable Results: My projects consistently yield tangible outcomes, from optimized inference times to high-throughput video analysis.
📈 Achievements By The Numbers
🚦 Object Detection & Cloud:
Traffic Analytics Development: Led software development using NVIDIA DeepStream with multi-stage models on 100+ sites featuring several cameras each, leveraging NVIDIA Jetson devices and TensorRT for optimized performance.
Advanced MLOps Pipelines: Managed MLOps pipelines, achieving 98% average accuracy in object detection models both on-premises and with AWS SageMaker.
Auto-Labeling Pipelines: Engineered rapid auto-labeling pipelines with Label Studio, curating a diverse dataset of 500K images in under six months.
Blurring Object Detection Models: Streamlined models via SageMaker and DeepStream, reducing response time by fivefold.
Semantic Segmentation: Executed on 5+ dashcam views with DeepStream, ensuring 25 fps per camera on Jetson devices.
High-Capacity Video Analysis: Deployed endpoints on SageMaker, processing over 1,000 videos weekly with 90% accuracy while cutting costs by 90%.
Sports Tennis Tracking Project: Developed a real-time tennis tracking system using advanced object detection algorithms and OpenCV, enhancing player performance analysis.
🔍 Anomaly Detection:
Production Deployment: Spearheaded the deployment of anomaly detection algorithms on 10+ production sites using Raspberry Pi, analyzing over 30,000 signals daily.
AWS SageMaker Canvas Integration: Leveraged SageMaker Canvas for rapid Development and deployment of anomaly detection models.
Price Trading Anomaly Detection: Implemented anomaly detection for price trading on AWS, utilizing SageMaker and PyOD to identify irregularities in financial data.
☁ AWS Mastery:
Serverless Systems Development: Built scalable, serverless systems using AWS ECS, S3, Lambda, DynamoDB, and RDS, enabling efficient data processing solutions.
Data Pipelines: Orchestrated serverless pipelines processing over 500K data records daily.
Efficient SageMaker Endpoints: Crafted data pipelines for 10+ SageMaker endpoints, achieving near-instant processing with S3 triggers.
Video Analysis Optimization: Optimized video analysis via SageMaker's autoscaling endpoint, reducing processing times by 80% and costs by 90% through effective scaling.
Real-Time Data Processing: Innovated a robust system based on DynamoDB, AppSync, S3, and RDS, overseeing over 1M+ data transactions daily.
🎨 Generative AI Enthusiast
My passion drives my expertise. I have hands-on experience using the OpenAI API, Hugging Face, and LangChain, constantly pushing the boundaries of AI.
🔄 Versatile Approach
Whether embracing a startup's agility or an enterprise's consistency, I adapt to deliver the best of both worlds.
🛠️ Toolbox
🔑 Languages: Python
🌩️ Cloud: AWS SageMaker, AWS SageMaker Canvas, AWS ECS, AWS Lambda, AWS DynamoDB, AWS RDS, AWS S3, AWS Athena, Serverless Framework, AWS Glue, Amazon Redshift
🤖 Machine Learning: scikit-learn, pandas, numpy, PyCaret, PyOD, Plotly
🧠 Deep Learning: TensorFlow, PyTorch, NVIDIA TensorRT, DeepStream, OpenCV
📊 Data Science Specialties: Object Detection, Anomaly Detection, Semantic Segmentation, Generative AI
🚀 Misc. Tools: Ubuntu, Docker, SQL, CI/CD, Git, AWS CloudFormation
Certifications
AWS Certified Machine Learning – Specialty
Academy Accreditation - Databricks Lakehouse
AWS Certified Developer – Associate
Eager to bring unparalleled data-driven innovation to your challenges? Let's create the next success story together!
Steps for completing your project
After purchasing the project, send requirements so Rafal can start the project.
Delivery time starts when Rafal receives requirements from you.
Rafal works on your project following the steps below.
Revisions may occur after the delivery date.
Data Acquisition and Preliminary Analysis
Acquire the data from the client or suggested sources, followed by a preliminary analysis to understand its structure, missing values, and potential features.
Exploratory Data Analysis (EDA) and Feature Engineering
Perform a deep dive into the data using visualization techniques, followed by feature engineering to create relevant features for model training.