Prompt Engineering

Advanced2+ years experienceAI/ML1 research role1 publication

Proficient with extensive hands-on experience in production environments

My Experience

Specialized in crafting effective prompts for AI systems. Featured work with educational GPT bots.

Research Roles

TAMU x Soft Interaction Lab

Publications

ChatGPT 4o Performance on Mechanical Engineering Concept Inventories

Technical Deep Dive

Core Concepts I'm Proficient In:
Multi-Platform LLM Expertise: Comprehensive experience across all major LLM platforms including ChatGPT, Claude, Cursor, Perplexity, and Gemini, understanding unique capabilities and optimization strategies for each
Conversational AI Design: Advanced development of conversational agents with proper context management and role-specific prompt architecture for complex multi-agent systems
Structured Output Engineering: Expert creation of prompts that generate precise structured outputs including JSON formatting and task-specific data formats for integration with applications and workflows
Educational Prompt Architecture: Specialized design of educational prompts backed by research to enhance student learning efficiency and comprehension in college-level academic settings
Research-Grade Prompt Development: Systematic approach to prompt engineering that follows application development principles, organizing prompts with proper context and role definitions for research applications
Agent Role Management: Advanced implementation of context and prompt strategies that enable different AI agents to perform specialized roles within larger system architectures
Academic Performance Analysis: Strategic prompt design for evaluating LLM performance on standardized academic assessments and concept inventories
Advanced Development Patterns:
Situational Prompt Optimization: Strategic understanding that optimal prompting approaches vary based on specific use cases, requiring flexible methodology rather than one-size-fits-all solutions
Few-Shot Learning Implementation: Practical experience with few-shot learning techniques, providing strategic examples to guide AI behavior and improve output quality
Chain-of-Thought Reasoning: Advanced implementation of chain-of-thought prompting to enhance AI reasoning capabilities and generate more thoughtful, step-by-step responses
Role-Playing Prompt Architecture: Sophisticated use of role-playing techniques to establish clear AI personas and behavioral frameworks for consistent, context-appropriate responses
Systems-Level Prompt Organization: Application of software development principles to prompt engineering, creating organized, scalable prompt architectures for complex AI applications
Research-Backed Educational Design: Integration of educational research principles into prompt design to maximize learning outcomes and student engagement
Complex Problem-Solving Examples:
Educational ChatGPT Agent Store Development: Designed and built a comprehensive educational chatbot available through ChatGPT's agent store that helps college students learn more efficiently within their academic courses. The challenge involved creating prompts that could adapt to diverse academic subjects while maintaining educational effectiveness backed by learning research. Successfully implemented research-based prompt strategies that guide students through complex concepts, provide appropriate scaffolding, and promote active learning techniques. The chatbot uses sophisticated prompt engineering to assess student understanding, provide personalized explanations, and adapt teaching strategies based on individual learning needs.
Multi-Agent Research System for TAMU x Soft Interaction Lab: Architected a sophisticated multi-agent AI system where each agent has specialized roles defined through carefully crafted context and prompt strategies. The challenge involved creating prompt architectures that enable different agents to maintain their specific functions while collaborating effectively within a larger research framework. Successfully implemented systematic prompt organization that treats each agent like a component in an application system, with clear role definitions, context boundaries, and interaction protocols that ensure consistent performance across the research application.
ChatGPT 4o Academic Performance Evaluation Framework: Developed comprehensive prompt engineering strategies for evaluating ChatGPT 4o performance on Mechanical Engineering Concept Inventories, contributing to academic research on AI capabilities in educational assessment. The project required creating prompts that could fairly assess AI understanding of complex engineering concepts while maintaining consistency with human evaluation standards. Successfully designed prompt frameworks that enable systematic evaluation of AI performance across different knowledge domains and assessment types.
Structured Output Automation for Application Integration: Created sophisticated prompt engineering solutions that generate precise JSON outputs and other structured formats for seamless integration with applications and automated workflows. The challenge involved designing prompts that consistently produce properly formatted data while maintaining content quality and accuracy. Successfully implemented prompt strategies that enable AI-generated content to flow directly into application pipelines, reducing manual processing and improving workflow automation efficiency.
Areas for Continued Growth:
Retrieval-Augmented Generation (RAG) Mastery: Developing expertise in RAG implementations to complete comprehensive LLM toolkit for automating diverse life challenges and problem-solving applications
Advanced Fine-Tuning Techniques: Improving prompt fine-tuning capabilities to achieve more precise control over AI behavior and output quality for specialized applications
Large-Scale Automation Architecture: Learning to design prompt engineering solutions that can automate significant portions of daily workflows and complex problem-solving processes
Multi-Modal Prompt Engineering: Expanding expertise to include visual, audio, and multi-modal prompt engineering for comprehensive AI interaction capabilities
Enterprise Prompt Management: Developing systems for managing, versioning, and optimizing prompts at scale for organizational AI implementations
Advanced Context Window Management: Mastering techniques for managing long conversations, complex context relationships, and multi-turn interaction optimization across different LLM platforms
2+ years
Experience
1
Projects
1
Research
1
Publications
Advanced
Proficiency