Crissy Deutsch a.k.a Crissy Moon
Technical & Professional Competencies
Technical Proficiencies:
My technical expertise encompasses multiple operating system architectures, network infrastructure protocols, computer hardware configuration, enterprise software applications, computational programming paradigms, and relational database management systems with advanced query optimization techniques.
Interpersonal & Cognitive Capabilities:
I demonstrate advanced communication proficiency across diverse stakeholder contexts, employ systematic analytical methodologies for complex problem resolution, and maintain collaborative efficacy within multidisciplinary teams. My professional approach emphasizes outcome-oriented innovation while developing cognitive flexibility that transcends conventional heuristic constraints and fixed-perspective problem-solving paradigms.
Welcome to my Technical Portfolio
I'm Crissy, a computational specialist focused on developing algorithmic solutions and intelligent systems that optimize organizational processes. My expertise encompasses full-stack development with specialized concentration in
artificial intelligence implementation,
relational database architecture, and
process automation frameworks.
Technical Competencies
Python
PHP
JavaScript
SQL
Machine Learning
Retrieval-Augmented Generation
Neural Network Fine-tuning
Database Management Systems
Event-Driven Architecture
Full-Stack Development
AI Systems & Computational Automation
My recent research has focused on implementing transformer-based language models and developing custom RAG (Retrieval-Augmented Generation) architectures. I've engineered systems that integrate structured database queries with vector embeddings to create context-aware applications that demonstrate significant efficiency improvements in information retrieval and decision support processes. These implementations have yielded quantifiable reductions in manual processing requirements while enhancing output precision metrics.
Database Systems Engineering
Throughout my professional tenure, I've designed and optimized relational database architectures that serve as foundational components for business intelligence frameworks. My methodology emphasizes referential integrity, query performance optimization, and developing programmatic interfaces that transform normalized data structures into actionable analytical insights. A notable implementation involved developing a comprehensive accounting database system utilizing advanced SQL procedures that fundamentally transformed operational workflows through automated reconciliation and multi-dimensional data visualization.
Full-Stack Application Development
I develop comprehensive computational solutions utilizing contemporary JavaScript frameworks coupled with server-side PHP/Python implementations. My applications implement robust user interfaces while executing complex algorithmic logic that automates repetitive computational tasks. My particular research interest lies in event-driven architectural patterns that respond programmatically to both user interactions and system-generated events through asynchronous processing mechanisms.
Artificial Intelligence Integration Methodology
My theoretical approach to AI integration centers on cognitive augmentation rather than process replacement. By engineering systems that algorithmically handle routine computational tasks while providing probabilistic recommendations, I develop technologies that enhance human cognitive capabilities for strategic analysis and complex problem-solving. This methodology has consistently produced empirically verifiable improvements in both productivity metrics and qualitative output assessment.
Current Research Directions
I am currently investigating advanced applications of transformer-based neural architectures, with particular emphasis on parameter-efficient fine-tuning methodologies for domain-specific natural language understanding. My recent implementations include developing custom retrieval mechanisms that integrate dense vector representations with traditional relational database systems to create context-aware applications capable of complex inferential reasoning with enterprise data repositories.