Kamalasankari Subramaniakuppusamy
AI Engineer | LLM & Agentic AI Systems | RAG, Evaluation & Monitoring
1 yrs experience · Washington, DC · <10 hrs/week
About
AI Engineer specializing in LLM-powered, agentic AI systems. Designed and shipped end-to-end workflows for multi-step decision-making and tool-driven execution, including backend pipelines with RAG, structured outputs, validation layers, and evaluation/monitoring for correctness and reliability. Developed Python-based APIs and integrations for production AI applications.
Skills
Experience
- Graduate Assistant in Advanced Machine Learning · The George Washington University09-01-2025 – 12-31-2025
- Supported implementation and evaluation of ML models and pipelines, improving model performance through iterative analysis and tuning. - Guided students on model behavior, performance trade-offs, and evaluation techniques, reinforcing system-level understanding of model performance and limitations - Contributed to assignment and project design aligned with real-world ML system practices, emphasizing reproducibility, evaluation rigor, and reliability
- AI Engineer Intern · Lillup05-01-2025 – 11-30-2025
- Built and shipped AI-powered Voice Tutoring, Research Assistant, and Notetaking systems, leveraging RAG-based pipelines to enable voice-driven queries, automated summarization, and grounded, context-aware in-app assistance - Engineered modular data pipelines and parsers for multi-format ingestion (JSON, XML, CSV, Parquet), supporting scalable retrieval and agentic AI workflows
Education
- The George Washington UniversityM.S, M.S in Computer Science (Machine Intelligence & Cognition)
- St. Joseph’s College of EngineeringB.E., B.E. in Electronics and Communication Engineering
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