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Oct 07, 2025
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Developed and Enhanced CV for Gabriel R. Duarte
Automated PDF and Message Generation for Tenant Invoices
Automated DataFrame Conversion and Payment Adjustment Analysis
Developed AI-Driven Political Consultancy Framework
Analyzed Economic Surplus and PromptFlow Debugging
Developed Documentation and Automation for EPH Repository
Automated Jupyter Notebook Execution and Error Handling
Enhanced LaTeX Table Integration in Jupyter Notebooks
Converted Jupyter Notebooks and Data Processing Scripts
Configured R environment in Visual Studio Code
Resolved UnicodeEncodeError in Python Geopandas
Developed HTML structure for Peronometro Electoral
Developed Python scripts for text and data processing
Enhanced Python data processing and visualization
Enhanced VS Code with Primer CSS and Custom Styles
Configured R and R Markdown in Visual Studio Code
Analyzed R Markdown for CSV file paths
Structured Documentation for Violence Data Datasets
Refactored Python Functions for Improved Reusability
Developed README and Workflow for Socioeconomic Analysis
Resolved R package installation issues in VS Code
Resolved R package installation issues on Linux
Structured RMarkdown and PanelMatch Analysis Session
Translation and Code Analysis Session Summary
Enhanced Error Handling and Markdown Automation
Developed Markdown to PDF conversion workflow
Implemented stock data processing and visualization workflow
Developed REST API for Machine Learning Integration
Enhanced Bash history and Pandoc conversion troubleshooting
Implementing and Debugging Python Scheduling Scripts
Enhanced PDF Invoice Generation with CSS and HTML
Enhanced Repository Testing and Workflow Analysis
Developed and Enhanced FAISS Query Toolkit
Implemented Hugo site with Jupyter Notebooks
Set up Hugo site with GitHub and Jupyter integration
Enhanced AI Exercise Metadata and Draft Handling
Enhanced Markdown Conversion and Hugo Configuration
Structured Commit Plan and SaaS Strategy Development
Analyzed and Integrated PromptFlow Architecture for FlowPower
Automated Upwork Data Collection and Integration
Integrated Pdoc with Docusaurus for Python SDK Documentation
Debugged and Enhanced LLMToolAgent and Upwork Automation
Resolved PromptFlow data mapping and observability issues
Developed Dual-Schema System for Obsidian and Business Intelligence
Integrated GPT Screeners with Obsidian for Publishing
Enhanced JSONL Data Pipeline and Obsidian Export
Resolved YAML and Docusaurus Documentation Issues
Refactored Google Calendar Integration and Error Handling
Enhanced Haystack Indexing and Web Crawling Integration
Developed Financial Data Analysis and Visualization Scripts
Enhanced Markdown and Docusaurus Integration
Integrated Markdown to Docusaurus Workflow
Transformed Academic Content to Docusaurus Format
Resolved MDX Parsing and Formatting Issues
Enhanced Data Processing and Digest Generation
Implementation and Evaluation of AI Clustering
Refactored and Improved Data Processing Pipeline
Enhanced Markdown to JSONL Processing Pipeline
Developed Docusaurus Documentation and Job Search Tools
Developed Embedding and Visualization Techniques for LlamaIndex
Explored LlamaIndex and LlamaParse for Document Processing
Resolved Python library conflicts and optimized data workflows
Developed Jupyter scripts for session journal automation
Implemented Quartz Project Organization and Fixes
Resolved Node.js and Quartz installation issues
Resolved Quartz Configuration and Styling Issues
Resolved Quartz Deployment and URL Handling Issues
Automated Video Processing and Markdown Conversion
Automated YouTube Video Data Backfill and Markdown Generation
Enhanced Whisper Transcription and Diarization
Implemented Offline Access for Static Sites on Vercel
Optimized Data Ingestion and Processing Pipelines
Developed RAG Pipeline and Git Management
Enhanced Ingest Pipeline and Compatibility Fixes
Diagnosed and Enhanced Chroma Database Operations
Classified and Integrated Data Clusters 0180–229
Consolidated Taxonomy and Project Management Strategies
Developed JSON Schema and Jinja2 Integration
Developed Python scripts for file and data handling
Refactored Docusaurus Content and Configuration
Resolved Docusaurus Documentation Errors and Optimized Structure
Developed and Enhanced Terminal History Management Tools
Enhanced Data Processing Pipeline with Bug Fixes
Refactored and Enhanced Markdown Processing Pipeline
Resolved TypeErrors and Automated Data Pipelines
Developed robust header parsing and repair scripts
Developed Python scripts for Jupyter Notebook conversion
Enhancing Feedback and OAuth Configuration
Developed AI Task Prioritization and Course Automation
Developed Educational Exercises for Data Science Course
Developed Framework for Jupyter Notebook Exercises
Curated Interactive Notebooks for Data Science