Emiliano Garcia
Master's of Applied Computing candidate and Software Engineering graduate, Engineer-In-Training, building AI-driven systems for research and industry. Experienced in ML, data pipelines, and applied deep learning.
Skills
PyTorchTensorFlow/Kerasscikit-learnPandasNumPyAWSDockerGitCI/CDPythonSQLJavaScriptC++Node.jsFastAPILangChainLangGraphMCPReactHTML/CSS
Selected Projects
RAG Benchmark Service
Evaluation-first RAG system with dual retrieval baselines (BM25 + FAISS), production FastAPI service, comprehensive testing (239 tests), drift monitoring, and full ML lifecycle automation.
RAGEvaluationML Engineering
PocketGuide
Domain-adapted LLM for structured travel guidance with evaluation-first design, synthetic instruction tuning, and offline inference.
Deep LearningEvaluationMachine Learning