CloudProAI: Data-Driven Solutions for Businesses

Driving Revenue and Engagement with Real-Time Personalized Recommendations

Technology

Feature Engineering
Processed raw customer data using PySpark on Amazon EKS and stored features in AWS SageMaker Feature Store for modeling.
Model Training and Inference
Trained models with a custom SDK and served predictions using API/GRPC, achieving sub-70ms latency at high request volumes.
Real-Time Inference
Used Amazon ElastiCache for Redis as an online feature store for low-latency inference and optimized storage.
Monitoring and Analytics
Integrated Datadog and a Spark-Kafka pipeline for live monitoring and continuous model enhancement.

Impact and Results

Together, let's create something wonderful.

we are cloudpro ai

What we do

Our Locations

San Francisco, CA

Maharajgunj, Kathmandu

Ashfield, NSW 2131

050030, Medellín

+1 415-393-2021

Viber

PySpark & AWS SageMaker	Description:Used for scalable data transformation and feature storage to support ML training workflows.
Redis & Amazon ElastiCache	Description:Enabled fast, real-time serving of recommendations with optimized performance.
Datadog & Spark-Kafka Pipeline	Description:Provided system observability and advanced data logging for model optimization.
API/GRPC Framework	Description:Ensured reliable, regionally distributed delivery of real-time predictions.

Feature Engineering