Pandas
Advanced3+ years experienceFrameworks & Libraries4 internships1 job
Proficient with extensive hands-on experience in production environments
My Experience
Essential library for data manipulation and analysis in Python. Used for data processing, ETL pipelines, and financial modeling.
Internships
INTERA Incorporated (Data Science)Pivotal Research Inc.INTERA Incorporated (Data Engineering)Momentum Technologies
Jobs
PitchFact
Technical Deep Dive
Core Concepts I'm Proficient In:
• LLM Pipeline Architecture: Expert development of high-performance LLM pipelines processing 500+ PDFs weekly for startup evaluation systems, with emphasis on speed and reliability
• Local Storage & Performance Optimization: Strategic use of FastAPI for local storage solutions that enable rapid processing, achieving under 1-minute processing time per PDF upload
• Startup Evaluation Systems: Specialized implementation of FastAPI applications for storing and processing startup information from both public and private sources
• PDF Processing Integration: Advanced integration of PDF handling workflows using GhostScript for PDF flattening and structured output generation for form completion
• TypeScript Application Integration: Seamless integration between FastAPI backend services and TypeScript applications for comprehensive startup evaluation workflows
• Prompt Engineering Integration: Strategic implementation of Claude LLM integration with optimized prompt engineering to ensure accurate information extraction from input documents
• Structured Output Generation: Expert design of structured data outputs that enable easy form completion while providing clear visibility into model-generated content and attribute changes
Advanced Development Patterns:
• High-Volume Document Processing: Architecture designed to handle 100+ PDFs per day per employee through optimized pipeline workflows and efficient resource management
• Multi-Source Data Integration: Strategic processing of information from both public and private sources to create comprehensive startup evaluation reports
• Pipeline Transparency & Monitoring: Implementation of clear attribute change tracking throughout the entire LLM pipeline, providing visibility into each processing step
• WebView Component Integration: Advanced integration of WebView components within TypeScript applications for seamless PDF downloading and user interaction
• Internal Deployment Architecture: Strategic use of Uvicorn server for internal employee deployment, focusing on functionality over complex external deployment configurations
• Speed-Optimized Framework Selection: Strategic choice of FastAPI over Flask for superior performance in local storage solutions and rapid LLM pipeline execution
• Employee Productivity Focus: System design prioritized around enabling employee efficiency, with workflows optimized for rapid startup evaluation and meeting preparation
Complex Problem-Solving Examples:
High-Performance LLM Pipeline for Startup Evaluation:
Architected and built a comprehensive LLM pipeline system at PitchFact that processes 500+ PDFs weekly for startup evaluation purposes. The challenge involved creating a system that could store PDF documents, extract relevant information using Claude LLM integration, and fill out evaluation forms with structured outputs. Successfully implemented FastAPI architecture that references local storage for each company, enabling the TypeScript application to efficiently process information from multiple sources and generate resulting PDFs with clear documentation of the LLM's processing steps and attribute changes throughout the pipeline.
Sub-Minute PDF Processing Optimization:
Developed performance optimizations that enable employees to process approximately 100 PDFs per day, with each file taking less than one minute to complete the entire pipeline. This required strategic specification of document requirements, advanced prompt engineering to ensure Claude LLM provided accurate extractions from input documents, and creation of structured output formats that facilitate easy form completion while maintaining transparency about model-generated content.
GhostScript and WebView Integration Solution:
Implemented a comprehensive solution using GhostScript for PDF flattening and WebView components for seamless PDF downloading within the TypeScript application. This integration solved the challenge of processing complex PDF documents while providing users with an intuitive interface for accessing completed evaluation reports, demonstrating ability to integrate multiple technologies for cohesive workflow solutions.
Multi-Source Information Processing System:
Created a system that efficiently processes and integrates information from both public and private sources to generate comprehensive startup evaluation reports. The FastAPI architecture enables employees to quickly access processed information and set up meetings with startups, demonstrating understanding of business workflow requirements and technical implementation of information aggregation systems.
Areas for Continued Growth:
• FastAPI Feature Exploration: Learning advanced FastAPI features including automatic documentation generation (Swagger/OpenAPI), dependency injection, and advanced path operations for more sophisticated API development
• Production Deployment Mastery: Expanding knowledge of Uvicorn server optimization and production-ready deployment configurations beyond internal employee usage
• Advanced Async Operations: Developing expertise in FastAPI's asynchronous capabilities and concurrent processing for even higher-performance document processing workflows
• API Architecture Patterns: Learning advanced API design patterns, middleware implementation, and scalable architecture strategies for enterprise-level FastAPI applications
• Data Processing Integration: Exploring deeper integration possibilities between FastAPI and data processing libraries for more sophisticated analytics and reporting capabilities
Projects Using Pandas
3+ years
Experience
2
Projects
4
Internships
1
Jobs
Advanced
Proficiency