You will get Your First ML Pipeline
Rising Talent
Rising Talent
Project details
I build end-to-end ML systems that turn raw data into production-ready pipelines — not just models in notebooks.
With experience designing large-scale data and ML systems (recommenders, pipelines, distributed training), I focus on solutions that are reliable, scalable, and aligned with real business outcomes.
What you get depends on the tier:
• Basic: Clean data pipeline + baseline model + offline predictions
• Standard: Production-ready pipeline, multiple models, and API or batch deployment
• Premium: Scalable system with advanced modeling (e.g., recommender), cloud deployment, and optimization
Each project includes structured code, clear documentation, and a system you can actually use and extend — so you avoid wasting time and budget on the wrong approach.
With experience designing large-scale data and ML systems (recommenders, pipelines, distributed training), I focus on solutions that are reliable, scalable, and aligned with real business outcomes.
What you get depends on the tier:
• Basic: Clean data pipeline + baseline model + offline predictions
• Standard: Production-ready pipeline, multiple models, and API or batch deployment
• Premium: Scalable system with advanced modeling (e.g., recommender), cloud deployment, and optimization
Each project includes structured code, clear documentation, and a system you can actually use and extend — so you avoid wasting time and budget on the wrong approach.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, BERT, Google AutoML, NumPy, Python, SQL, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 28 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 10 | 100 | 1000 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 4 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,500 - $5,000
Additional Revision
+$2,000
Additional Model Variation
(+ 2 Days)
+$500
Additional Scenario
(+ 5 Days)
+$2,000
Additional Graph/Chart
(+ 1 Day)
+$200
Foundation Model Distributed Training
(+ 7 Days)
+$5,000About Jason
AI & Data Consulting
New York, United States - 5:45 am local time
Steps for completing your project
After purchasing the project, send requirements so Jason can start the project.
Delivery time starts when Jason receives requirements from you.
Jason works on your project following the steps below.
Revisions may occur after the delivery date.
Problem Framing & Scope Alignment
Clarify target variable / objective Define success metrics (AUC, RMSE, business KPI) Identify constraints (latency, cost, scale) Confirm deliverables + scope Output: Clear problem definition + agreed success criteria
Data Ingestion & Exploration
Load data (files, DB, APIs) Perform EDA (distributions, missingness, leakage checks) Identify data quality issues Validate labels and target definition Output: Data assessment + risks identified early