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ML Predictive Pipeline
End-to-end machine learning pipeline for predictive analytics. Features automated data ingestion, model training, and real-time inference endpoints on AWS infrastructure.
5
Technologies used
2
Features implemented
1
Challenges solved
Open Source
Status
Tech Stack
Backend
Python
Cloud & DevOps
AWS Lambda
AI & ML
TensorFlowAWS Lambda
Impact
Reduced prediction latency by 40% through optimized model serving.
Implementation Details
- The pipeline automates the complete ML lifecycle from data collection to model deployment.
- AWS Step Functions orchestrate the workflow, while Lambda handles serverless inference.
Challenges & Solutions
- Optimizing cold-start times for Lambda-based inference required careful model quantization and layer caching strategies.