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Y.C Lee
Y.C Lee

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Implementation plan

Implementation Plan

Overview

This implementation plan breaks down the semiconductor AI ecosystem into discrete, manageable coding tasks that build incrementally toward a complete solution. Each task focuses on specific code implementation that can be executed by a development team.

Tasks

  • [ ] 1. Set up project structure and core infrastructure

    • Create directory structure for microservices architecture
    • Set up Docker containerization for each service
    • Configure Kubernetes deployment manifests
    • Implement basic logging and monitoring infrastructure
    • Requirements: 7.2, 7.6, 9.5

  • [ ] 2. Implement data ingestion pipeline foundation

  • [ ] 2.1 Create ETL pipeline service skeleton

    • Implement Apache Airflow DAG structure for batch processing
    • Create database connection utilities for Oracle, SQL Server, PostgreSQL
    • Write data validation and cleansing functions
    • Implement error handling and retry mechanisms
    • Requirements: 2.1, 2.9, 2.10

  • [ ] 2.2 Implement SEMI SECS/GEM protocol adapters

    • Write SECS/GEM message parsing and handling code
    • Create MES system integration interfaces
    • Implement real-time data extraction from manufacturing systems
    • Write unit tests for protocol handling
    • Requirements: 2.1, 1.2

  • [ ] 2.3 Create stream processing service for real-time data

    • Implement Apache Kafka producers and consumers
    • Write Apache Flink stream processing jobs
    • Create real-time anomaly detection algorithms
    • Implement data aggregation and event correlation logic
    • Requirements: 2.2, 2.3, 9.4

  • [ ] 3. Implement data storage layer

  • [ ] 3.1 Set up data warehouse schema and connections

    • Design and implement star schema for analytical queries
    • Create fact tables for process measurements and test results
    • Implement dimension tables for equipment, recipes, lots, wafers
    • Write database migration scripts and version control
    • Requirements: 3.4, 3.5, 9.10

  • [ ] 3.2 Implement data lake storage with Apache Iceberg

    • Set up Iceberg table structures for raw, curated, and analytics zones
    • Implement data partitioning and retention policies
    • Create data lineage tracking functionality
    • Write data quality monitoring and validation code
    • Requirements: 3.4, 3.5, 9.1

  • [ ] 3.3 Create vector database integration for RAG system

    • Implement vector database connections (Pinecone/Weaviate/Chroma)
    • Write embedding generation and storage functions
    • Create similarity search and retrieval algorithms
    • Implement document indexing and metadata management
    • Requirements: 1.3, 3.6, 3.7, 3.8

  • [ ] 4. Implement LLM integration and RAG system

  • [ ] 4.1 Create LLM model serving infrastructure

    • Implement model loading and inference using TensorRT/vLLM
    • Create GPU resource management and auto-scaling logic
    • Write model versioning and deployment automation
    • Implement LoRA adapter loading for domain-specific fine-tuning
    • Requirements: 1.1, 1.5, 7.2, 7.5

  • [ ] 4.2 Implement RAG engine with semantic search

    • Create query understanding and intent classification modules
    • Implement semantic search across vector database
    • Write context ranking and selection algorithms
    • Create response generation with source attribution
    • Requirements: 1.3, 3.6, 3.7, 3.8

  • [ ] 4.3 Integrate semiconductor domain knowledge

    • Implement SEMI and JEDEC standards knowledge base
    • Create process terminology and equipment specification embeddings
    • Write domain-specific query expansion and processing
    • Implement semiconductor-specific response validation
    • Requirements: 1.2, 1.4, 3.1, 3.2

  • [ ] 5. Implement ML model services for manufacturing analytics

  • [ ] 5.1 Create yield prediction models

    • Implement machine learning models for wafer-level yield prediction
    • Write feature engineering for process parameters and metrology data
    • Create model training pipelines with cross-validation
    • Implement model evaluation and performance monitoring
    • Requirements: 8.1, 6.6, 6.7

  • [ ] 5.2 Implement anomaly detection for process excursions

    • Write multivariate statistical analysis algorithms
    • Create machine learning anomaly detection models
    • Implement real-time scoring and alert generation
    • Write model retraining and drift detection logic
    • Requirements: 8.2, 6.8, 6.9

  • [ ] 5.3 Create equipment predictive maintenance models

    • Implement time-series forecasting for equipment health
    • Write sensor data preprocessing and feature extraction
    • Create failure prediction models using historical patterns
    • Implement maintenance scheduling optimization algorithms
    • Requirements: 8.4, 2.8, 6.6

  • [ ] 6. Implement computer vision for wafer map analysis

  • [ ] 6.1 Create defect classification models

    • Implement CNN models for defect type classification
    • Write image preprocessing and augmentation pipelines
    • Create training data management and labeling tools
    • Implement model evaluation and confusion matrix analysis
    • Requirements: 8.5, 8.8, 2.6

  • [ ] 6.2 Implement spatial pattern recognition

    • Write algorithms for systematic vs. random defect detection
    • Create wafer map visualization and analysis tools
    • Implement equipment fingerprint detection algorithms
    • Write spatial correlation and clustering analysis
    • Requirements: 8.8, 6.3, 6.4

  • [ ] 7. Create API gateway and service mesh

  • [ ] 7.1 Implement API gateway with authentication

    • Set up Kong or similar API gateway infrastructure
    • Implement JWT-based authentication and authorization
    • Create rate limiting and throttling mechanisms
    • Write API documentation and versioning support
    • Requirements: 4.1, 7.7, 9.7

  • [ ] 7.2 Create service mesh for microservices communication

    • Implement Istio or similar service mesh
    • Create service discovery and load balancing
    • Implement circuit breaker patterns and retry logic
    • Write distributed tracing and monitoring
    • Requirements: 7.6, 9.5, 9.7

  • [ ] 8. Implement user interfaces and dashboards

  • [ ] 8.1 Create conversational AI chat interface

    • Implement React/Vue.js frontend with WebSocket connections
    • Create natural language query processing interface
    • Write multi-turn conversation management
    • Implement file upload functionality for wafer maps and reports
    • Requirements: 4.3, 6.1, 6.2

  • [ ] 8.2 Build analytics dashboard for manufacturing insights

    • Create real-time equipment health monitoring dashboards
    • Implement yield trend analysis and forecasting visualizations
    • Write process parameter correlation heatmaps
    • Create defect pattern visualization tools
    • Requirements: 6.1, 6.2, 6.3, 6.4

  • [ ] 8.3 Implement alert and notification system

    • Create Apache Kafka-based event streaming for alerts
    • Write alert classification and severity scoring
    • Implement multi-channel notification delivery (email, SMS, Slack)
    • Create alert escalation and acknowledgment workflows
    • Requirements: 6.9, 8.2, 8.4

  • [ ] 9. Implement MLOps and model governance

  • [ ] 9.1 Create model registry and versioning system

    • Implement MLflow model registry integration
    • Write model versioning and metadata management
    • Create model deployment automation pipelines
    • Implement A/B testing framework for model comparison
    • Requirements: 7.6, 7.9

  • [ ] 9.2 Implement automated model training pipelines

    • Create scheduled retraining workflows using Apache Airflow
    • Write data drift detection and model performance monitoring
    • Implement automated feature engineering pipelines
    • Create model validation and testing automation
    • Requirements: 1.6, 7.6, 7.9

  • [ ] 9.3 Create model monitoring and observability

    • Implement model performance metrics collection
    • Write prediction accuracy and bias monitoring
    • Create model explainability and interpretability tools
    • Implement automated model rollback mechanisms
    • Requirements: 7.6, 7.9, 9.7

  • [ ] 10. Implement security and compliance features

  • [ ] 10.1 Create data encryption and access control

    • Implement encryption at rest and in transit
    • Write role-based access control (RBAC) system
    • Create audit logging and compliance reporting
    • Implement data masking and anonymization tools
    • Requirements: 1.7, 1.8, 4.1

  • [ ] 10.2 Implement ITAR/EAR compliance features

    • Create data classification and handling procedures
    • Write export control validation and reporting
    • Implement secure data transfer protocols
    • Create compliance audit trails and documentation
    • Requirements: 1.8, 4.1

  • [ ] 11. Create testing and validation framework

  • [ ] 11.1 Implement comprehensive test suites

    • Write unit tests for all service components
    • Create integration tests for data pipelines
    • Implement end-to-end testing for user workflows
    • Write performance and load testing scripts
    • Requirements: 5.2, 5.3, 5.4

  • [ ] 11.2 Create data quality and validation testing

    • Implement data pipeline testing and validation
    • Write model accuracy and bias testing frameworks
    • Create synthetic data generation for testing
    • Implement automated regression testing
    • Requirements: 2.10, 5.1, 5.4

  • [ ] 12. Implement deployment and infrastructure automation

  • [ ] 12.1 Create CI/CD pipelines

    • Implement GitLab CI or GitHub Actions workflows
    • Write automated testing and deployment scripts
    • Create infrastructure as code using Terraform
    • Implement blue-green deployment strategies
    • Requirements: 5.1, 5.5, 7.6

  • [ ] 12.2 Set up monitoring and observability

    • Implement Prometheus and Grafana monitoring stack
    • Create application performance monitoring (APM)
    • Write log aggregation and analysis tools
    • Implement distributed tracing for microservices
    • Requirements: 9.7, 9.5

  • [ ] 13. Create knowledge base integration and management

  • [ ] 13.1 Implement document processing pipeline

    • Write OCR and NLP processing for PDF documents
    • Create automated document ingestion and indexing
    • Implement version control and change detection
    • Write multilingual document processing support
    • Requirements: 3.6, 3.7, 3.8, 3.10

  • [ ] 13.2 Create knowledge graph implementation

    • Implement Neo4j or Amazon Neptune graph database
    • Write relationship extraction and entity linking
    • Create graph-based query and reasoning algorithms
    • Implement knowledge graph visualization tools
    • Requirements: 3.7, 3.8

  • [ ] 14. Implement advanced analytics and optimization

  • [ ] 14.1 Create process optimization algorithms

    • Implement Bayesian optimization for recipe parameters
    • Write design of experiments (DOE) automation
    • Create multi-objective optimization algorithms
    • Implement chamber matching optimization
    • Requirements: 8.3, 8.7, 6.7

  • [ ] 14.2 Implement virtual metrology system

    • Create machine learning models for metrology prediction
    • Write sensor fusion and data correlation algorithms
    • Implement real-time prediction and validation
    • Create measurement uncertainty quantification
    • Requirements: 8.10, 6.6, 6.7

  • [ ] 15. Create final system integration and testing

  • [ ] 15.1 Implement end-to-end system integration

    • Connect all microservices and validate data flow
    • Create comprehensive system health checks
    • Implement disaster recovery and backup procedures
    • Write system performance optimization
    • Requirements: 5.5, 9.5, 9.9

  • [ ] 15.2 Conduct user acceptance testing preparation

    • Create user training materials and documentation
    • Implement user feedback collection mechanisms
    • Write system administration and maintenance guides
    • Create deployment and rollback procedures
    • Requirements: 5.3, 5.4, 4.4

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