You will get Machine Learning Model Develop, Performance Tuning and Scaling
Project details
You will get:
• Data preprocessing with cleaning, transform and enrichment component
• Trained Model
• Evaluation + explainability
• How to deploy model as API or batch job document
• Well-commented Python code workflow with each step document
• Step-by-step instructions on how to retrain the model on new training data
• Limit less support through Upwork messages
• Data preprocessing with cleaning, transform and enrichment component
• Trained Model
• Evaluation + explainability
• How to deploy model as API or batch job document
• Well-commented Python code workflow with each step document
• Step-by-step instructions on how to retrain the model on new training data
• Limit less support through Upwork messages
Machine Learning Tools
Apache Spark, Apache Spark MLlib, ChatGPT, Cloudera, Databricks Platform, Databricks MLflow, GitHub Copilot, Google AutoML, GPT-3, Kubeflow, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$700
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 10 days | 8 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50About Jatin
Streaming & Distributed System| AI/ML Expert | Datadog | n8n
Rajkot, India - 5:25 am local time
With experience in designing end-to-end data systems, AI models, scalable pipelines, and enterprise applications, we help companies accelerate their technology roadmap.
My Expertise:
Machine Learning & AI
- Python, ML, Deep Learning
- Generative AI, LLMs, embeddings
- NLP, Computer Vision
- Model deployment & optimization
Data Engineering
- Databricks, Apache Spark, PySpark
- ETL/Data pipeline development
- Hadoop ecosystem
- Batch & Streaming data processing (Kafka, Kinesis)
- Snowflake, Delta Lake
- AWS & GCP data architecture
Backend & Full-Stack Engineering
- Java Spring Boot microservices
- REST APIs, OAuth2, RBAC
- React Native mobile apps
- Vaadin enterprise UI
- GPS & geospatial data system development
DevOps & Cloud Automation
- Datadog monitoring setup
- Terraform (AWS & GCP)
- Prometheus + Grafana for observability
- Splunk integration
What I Deliver
✔ Complete AI/ML development
✔ Scalable data pipelines
✔ Optimized backend and API ecosystems
✔ Real-time dashboards and analytics
✔ Production-grade deployments
✔ Clean documentation & long-term support
Inviting potential clients to discuss their project needs
Steps for completing your project
After purchasing the project, send requirements so Jatin can start the project.
Delivery time starts when Jatin receives requirements from you.
Jatin works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding Requirement and Model.
In this step, we will understand the details requirement, source data and deliverable you are looking to connect the dots and build model as per requirement
Client reviews and approves your work
Once the work completed, We will get it reviewed with you and make sure it align with deliverable describe in requirement.