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CLI
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- Optimized Google Drive Management and Process Structuring
- Developed Launch Strategy for OSS Projects
- Developed financial report and family management insights
- Optimized PromptFlow and Health Strategy Sessions
- Explored Google Maps API for Business Ideation
- Integrated Mapbox CLI and Pandas DataFrame Techniques
- Resolved Google Cloud Billing and Access Issues
- Integrated Google Cloud SQL and App Engine Deployment
- Integrated OpenAI GPT and Secured API Keys
- Configured Firebase and Flask Integration
- Resolved OAuth 2.0 Client ID Issues for Flask App
- Transitioned from ARCGIS to Mapbox for Mapping Projects
- Setup and Integration of GCP Pub/Sub Publishers
- Configured n8n for Gmail API Integration
- Integrated Supabase with Google Drive for RAG Workflows
- Refactored RAG pipeline for modular embedding
- Automated Google Drive Management and CSV Export
- Configured shadcn/ui in Next.js with TypeScript
- Implemented FastAPI service with Docker deployment
- Developed CLI and Strategic Roadmap for FlowPower
- Developed FlowPower CLI and Integration Strategies
- Analyzed and Strategized PromptFlow Integration
- Comprehensive Design and Architecture of Flowpower
- Developed CLI and Strategic Roadmap for FlowPower
- Exploration of AI Flow and CLI Integration
- Reverse Engineering and Execution Insights for PromptFlow
- Analyzed and Integrated PromptFlow Architecture for FlowPower
- Developed Modular Architecture for PromptFlow YAMLs
- Enhanced Flowpower CLI and Python Utilities
- Enhanced Trace Management in PromptFlow CLI
- Enhancements and Error Resolution in PromptFlow
- Redesigned and Implemented Flowpower Executor and API
- Resolved Python packaging and configuration issues
- Completed FlowPower CLI Integration with PromptFlow
- Debugged and Enhanced PromptFlow Connection Management
- Enhanced AI Streaming UX with PromptFlow
- Enhanced and Refactored Python Executor Scripts
- Executed and Validated OpenAI Chat Flow
- Refactored and tested PromptFlow with OpenAI API
- Resolved Promptflow Secret Caching and Configuration Issues
- Developed AI Habitat and Python Environment Management
- Resolved PromptFlow configuration and execution issues
- Explored Cerebrum SDK's orchestration and integration features
- Refactored CLI tools for enhanced log processing
- Analyzed multi-day evolution of AI automation systems
- Enhancements in Flowpower and PromptFlow Development
- Optimized Linux System and Enhanced FlowPower
- Comprehensive Analysis and Strategy for Cerebrum SDK
- Developed Page Definition Units for Publishing
- Resolved Docusaurus CLI and MDX errors
- Enhanced Python Daemon for Digest Processing
- Finalized Email Automation and Orchestration Pipeline
- Developed Multi-Tenant SaaS Architecture with Deployment Strategies
- Developed and Refactored CLI for Email Management
- Developed and Tested Terra Assistant CLI
- Refactored Configuration for Storage and Triager Paths
- Refactored and Enhanced Email Processing System
- Refactored and Debugged Python CLI and Job Fetching Script
- Developed CSV to JSONL conversion with web scraping
- Streamlit and Selenium Integration and Debugging
- Configured Quartz and Vercel for SPA Deployment
- Resolved Quartz Deployment and URL Handling Issues
- Resolved Yarn and Deployment Issues in Docusaurus
- Automated YouTube Video Data Backfill and Markdown Generation
- Enhanced RAG pipeline and retrieval systems
- Developed RAG Pipeline and Git Management
- Enhanced GitHub Ingestion with Async Support
- Analyzed and Optimized Session Management Workflows
- Developed and Enhanced Terminal History Management Tools
- Upgraded Data Pipeline and Integrated Legacy Scripts
- Enhanced PromptFlow and Legacy Input Processing
- Developed DBF to CSV extraction and CLI tool
- Enhanced DBF to CSV and INDEC Data Extraction
- Implemented CLI for eph-extractor with data management
- Resolved ZIP extraction error and improved Git workflow
- Graph Analysis and Community Detection Enhancement
- Debugged and Enhanced Python Data Pipelines
- Documented and Packaged Python Bags Pipeline
- Enhanced Data Processing Pipeline with Bug Fixes
- Implemented and Debugged Python Data Processing Modules
- Comprehensive Refactoring and Optimization of Python CLI
- Enhanced CLI and pipeline for MDX publishing
- Enhanced Cohort Units and Timestamp Handling
- Enhanced Python Code Quality and Event Indexing
- Refactored and Enhanced Markdown Processing Pipeline
- Refactored CLI with UnitSelector and Testing
- Refactored I/O Logic and Pipeline Architecture
- Refactored Python CLI and Backend for Modularity
- Resolved TypeErrors and Automated Data Pipelines
- Refactor and Implement Gating Policy in Python
- Refactored EDA pipeline for tag normalization
- Refactored Python CLI and Data Processing Pipeline
- Developed YAML-based data profiling and validation
- Resolved ABI Mismatch and Optimized Dask Operations
- Enhanced Article Scraping and Data Enrichment
- Developed Python and Conda Environment Tutorials