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Forward-Deployed AI Engineer @ Adobe
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PERSONAL PROJECT / LLM EXPERIMENT & SYSTEMS

Fact → Joke Generator

An applied experiment in computational humor and structured LLM generation.

Large Language Models Prompt Engineering Python Flask Ubuntu Server Oracle Cloud Compute

The Concept

Humor is one of the most challenging evaluation domains for natural language models because it requires comedic timing, subverted expectations, and contextual premise recognition.

This application takes arbitrary, dry factual statements and constructs a prompt chaining pipeline to extract the core premise, generate misdirected punchlines, and render formatted comedic outputs within a responsive web interface.

Technical Pipeline

From prompt design to cloud deployment:

01 Fact Retrieval & Input Validation
02 Few-shot System Prompt Template
03 Language Model Inference & Guardrails
04 Flask API Response → Interactive UI

Recorded Demonstration

Video demonstration highlighting real-time prompt generation, temperature adjustment, and comedic output formatting.

Next Project

Explore document intelligence and RAG syllabus querying.

Next project: EduTask (Document Intelligence) →