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Dylan Zhu

Mid-level Machine Learning Engineer specializing in computer vision and generative AI

Hoboken, NJResearch Engineer - Computer Vision, Autonomous Animal-Deterrent AGV System7 years experienceMid-LevelEducationResearchTechnology
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About

Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.

Experience

Research Engineer - Computer Vision, Autonomous Animal-Deterrent AGV SystemStevens Institute of Technology
Machine Learning Engineer Intern - Generative ModelsBaidu, Inc.
Research Engineer - Machine Learning, Synthetic Data Embedding in RAG SystemsStevens Institute of Technology
Applied Engineer and Software DeveloperWhite Sands Catering Management Ltd.

Education

Purdue Universitybachelor, Computer Engineering; Electrical Engineering (2021)
Stevens Institute of Technologymaster, Electrical and Computer Engineering

Key Strengths

  • Built a privacy-preserving pipeline to convert sensitive data into a non-sensitive RAG knowledge base for LLMs
  • Balances privacy vs. utility by tuning noise and monitoring statistical alignment with distributional metrics
  • Pragmatic model selection considering performance, cost, and data sensitivity (local deployment when needed)
  • Structured AI workflow design with stepwise testing on representative and edge cases
  • Defines task-specific evaluation metrics and performs failure analysis to drive improvements
  • Effective at explaining AI behavior to non-technical stakeholders using visual demonstrations (FGSM example)

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Languages

English

Skills

PythonNumPySciPyPyTorchScikit-learnTensorFlowPandasMatplotlibCC++JavaLispARM AssemblyVerilogArduino