Allen George

Technologies: Python, Machine Learning, OpenAI API, Redis, Web Scraping

• Architected and deployed a comprehensive crime analytics platform by scraping and processing 1+ million web pages across Nigerian data sources
• Developed and trained a custom ML model to automatically detect and classify crime-related content from unstructured web data with high accuracy
• Integrated OpenAI API for intelligent data parsing and content extraction, reducing manual processing time by 95%
• Built high-performance Redis database infrastructure for real-time crime data queries and location-based recommendations
• Delivered actionable crime insights and area safety recommendations, enabling data-driven decision making for urban planning and public safety

Technologies: Python, Pipecat, Agno Framework, Voice AI, Real-time Audio Processing

• Became a top contributor to Pipecat, a leading open-source voice AI framework, with significant community recognition
• Successfully integrated Agno agentic framework with Pipecat, pioneering voice-enabled AI agent capabilities
• Enhanced framework's extensibility and real-time performance, contributing to improved developer experience across the ecosystem
• Collaborated with international development team to implement robust voice interaction protocols and API standards

Technologies: Python, Google Gemini API, Web Scraping, Cron Jobs, Voice AI, Image Processing

• Developing an innovative voice-powered real estate search platform using automated data collection from Edmonton market sources
• Implemented scalable web scraping infrastructure with automated cron jobs for continuous property data ingestion
• Integrated Google Gemini API for intelligent property image analysis and feature extraction from visual content
• Building voice AI capabilities to enable natural language property search and recommendations
• Creating end-to-end data pipeline from automated collection to AI-powered user interaction

Technologies: Python, Redis, GraphBLAS, Cypher Query Language, Database Systems, Query Optimization

• Architecting and developing a high-performance graph database from scratch, addressing performance gaps in existing voice AI infrastructure
• Designed hybrid architecture combining Redis for ultra-fast property storage with Python GraphBLAS for optimized graph traversal operations
• Implemented complete query processing pipeline: Cypher query parsing → logical plan optimization → physical execution plan
• Applied database systems research principles inspired by FalkorDB to create novel query optimization strategies
• Contributing to open-source community with focus on performance-critical graph operations for real-time applications

Programming Languages: Python, Database Query Languages (Cypher, SQL) Machine Learning & AI: Custom Model Training, OpenAI API Integration, Computer Vision, Voice AI Systems Data Engineering: Large-scale Web Scraping (1M+ pages), ETL Pipelines, Real-time Data Processing Database Systems: Redis, Graph Databases, Query Optimization, Database Architecture Design Infrastructure: Automated Job Scheduling, API Development, Real-time System Architecture Open Source: Community Contribution, Framework Integration, Technical Leadership