PDF Processing

Automated Startup Evaluation Document Generation Pipeline: Developed a comprehensive PDF processing system at PitchFact that automatically generates completed startup evaluation forms for angel investors using PyPDF2 and GhostScript integration. The challenge involved creating a workflow that could take empty PDF templates and fill them with accurate, relevant information about startups while maintaining professional document formatting. Successfully implemented a system that uses PyPDF2 to identify and populate text fields with AI-generated content, then applies GhostScript flattening to create final documents that appear professionally completed without interactive elements, enabling efficient startup evaluation workflows for angel investors.

RAG-Enhanced Information Collection and PDF Integration: Architected a sophisticated data collection and document processing system that uses Retrieval-Augmented Generation with Claude SDK to gather comprehensive startup information from both public and private sources, then automatically populates PDF evaluation templates. The challenge involved ensuring information accuracy while maintaining processing speed and creating a transparent workflow for employee verification. Successfully developed a system that combines RAG techniques with database verification to collect verified startup information, then seamlessly integrates this data into PDF processing workflows for accurate, comprehensive investor evaluation documents.

Transparent Processing Pipeline for Accuracy Verification: Implemented a comprehensive quality assurance system that maintains complete visibility into all PDF processing steps and data sources, enabling employees to verify information accuracy and trace content origins. The challenge involved creating processing workflows that balance automation efficiency with transparency requirements for accuracy verification. Successfully developed a system that exposes every aspect of the data collection and PDF generation process, allowing employees to review information sources, validate content accuracy, and ensure that generated investor documents meet professional standards and accuracy requirements.

FastAPI-Integrated Development Environment for PDF Processing: Created a responsive development environment that integrates PDF processing capabilities with FastAPI backend systems, enabling rapid iteration and real-time preview of document generation workflows. The challenge involved building a system that allows developers to quickly test changes and see immediate results in both processing logic and final document output. Successfully implemented a FastAPI-based architecture that provides responsive backend processing for PDF operations while maintaining a user-friendly frontend interface that enables quick development cycles and efficient workflow optimization.