Maryam Monalisa Gharavi, Ph.D.

Senior Prompt Engineer


AI-First Systems

I build reliable AI systems using prompt engineering, structured workflows, and LLM evaluation frameworks.



What I Do

Prompt Architecture

• structured prompting
• workflows for complex LLM behaviors
• agent prompts
LLM Systems
• prompt learning
• tool-using agents
• evaluation pipelines
AI / ML Consulting
• AI-native product design
• LLM reliability
• safety & guardrails



Mini Case Studies

LLM Knowledge Systems
• Built production-ready hallucination mitigation agent that filtered for 97-98% of false outputs (one week before Google DeepMind)
Model Evaluations
• Developed a proprietary, in-house 100-unit model evaluation suite to stress-test a 2-part system: generalized intelligence and enterprise/market outputs
AI Systems at Scale
• Created prompt architecture for AI discovery and routing systems, including system prompts & dynamic user-context injection, improving tool routing reliability, reducing hallucination-risk scenarios, & strengthening “what should I do next?” user guidance
AI Translation/Translocation
• Devised a GenAI translation system spanning 42+ languages enabling dynamic/formal equivalence, localization, & regional nuance to deliver near-native accuracy for global enterprise contexts
LLM Behavior
• Synthesized cross-surface prompt contracts defining global vs. local prompting responsibilities, improving system coherence, preventing duplication or prompt drift, and enabling consistent AI behavior across product experiences



Skills

Core Skills
• Prompt Engineering
• Prompt Architecture
• AI Agent Systems
• Evaluation Frameworks
• LLM Guardrails
Tools
• Anthropic Console
• OpenAI Playground
• Python
• Markdown
• ChatML
Languages
• Persian (native / fluent)
• Portuguese (fluent)
• Spanish (fluent)
• Italian (advanced)
• Modern Standard Arabic (advanced)
• Levantine Spoken Arabic (advanced)
• French (intermediate)
• Dakota (beginner)
• Latin (reading)
• Hebrew (limited)