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AM
Amaan Mohammed
Junior AI/ML Engineer specializing in LLM applications and RAG systems
College Park, MDGraduate Teaching Assistant1 years experienceJuniorTechnologyArtificial IntelligenceEnergy
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About
Built and deployed LLM-powered agentic systems including a multi-agent travel planning assistant using LangChain, RAG (FAISS), real-time APIs, and a supervisor agent to manage coordination and reduce hallucinations. Also developed a Text-to-SQL system with schema-aware validation guardrails, and collaborated with drilling domain experts at CNPC USA to build an ML model predicting rate of penetration (ROP).
Experience
Graduate Teaching AssistantUniversity of Maryland (UMD)
Machine Learning InternCNPC USA
Education
University of Maryland - College Parkmaster, Applied Machine Learning
Vellore Institute of Technologybachelor, Computer Science (Minor in Artificial Intelligence) (2024)
Key Strengths
- Built and deployed a production multi-agent travel planning assistant (RAG + real-time APIs + workflow + frontend)
- Improved agent reliability via strict evaluation loops, schema-based outputs, and retrieval grounding to reduce hallucinations
- Designed supervisor-agent pattern to coordinate sub-agents, resolve conflicts, and validate final outputs
- Strong testing/evaluation discipline for agentic workflows (synthetic tests, adversarial prompts, regression testing, metric tracking)
- Implemented Text-to-SQL pipeline with schema extraction, prompt conditioning, and validation/self-correction guardrails
- Effective collaboration with non-technical domain experts to define features, validate outliers, and interpret ML model behavior (CNPC USA drilling/ROP)
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