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CLI
CLI
Oct 07, 2025
1 min read
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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