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Hans Walker

Junior Machine Learning Engineer specializing in generative AI and computer vision

CuebricUSCBoston, MA2 Years ExperienceJunior LevelWorks On-Site

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About

AI engineer who deployed a production LLM-powered safety system for an education platform, combining rule-based checks, multi-LLM verification, and selective context (prompt+image vs image-only) to prevent explicit prompts/images from getting through. Strong focus on reliability via benchmarking, trace-based failure analysis, and continuous improvement driven by stakeholder feedback and manual review.

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Key Strengths

  • Built and deployed an LLM-powered prompt+image safety filter for an education platform
  • Balanced safety vs usability via iterative testing and manual + automated moderation pipelines
  • Pragmatic tooling decisions (phased out LangChain when it didn’t add value vs Python/PyTorch)
  • Structured evaluation approach: manual testing, benchmarking, failure-trace review, and cross-team QA
  • Model optimization mindset: start with SOTA then iterate toward smaller/cheaper models
  • Hands-on debugging of VLM failure modes (e.g., attention to image edges)

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Experience

Machine Learning EngineerCuebric · Mar 2024 – Present

Education

USCmaster, Computer Engineering (2023)
Boston Universitybachelor, Mechanical Engineering (2021)

Skills

Agentic AIAWSBashBERTCC++ClassificationCloud ComputingComputer VisionDockerEnd-to-End TestingGenerative AIGitGPTJava

Languages

English

Publications

2 publications

Autonomous VehiclesAdversarial Machine LearningRobustness in Computer VisionGenerative Models

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Connect with Hans

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Typically responds within 24 hours

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Hans WalkerJunior Machine Learning Engineer specializing in generative AI and computer vision