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Applied AI · Product Systems

AI-Powered Translation

NLP, Computer Vision & Product Development

AI product leadership connecting multilingual translation, accessibility, NLP, computer vision and cross-functional delivery.

Applied AINLPComputer visionAccessibilityProduct strategy
AI-Powered Translation project cover
Avodah contextLinkedIn
01 / Problem

Applied AI for language and accessibility workflows

The work involved product/system framing for AI-powered translation capabilities spanning multilingual language workflows, NLP, computer vision and sign-language accessibility.

02 / Contribution

Product leadership, clearly attributed

What I led

  • Product requirements and roadmaps
  • User-journey and workflow framing
  • Prioritization across multidisciplinary capabilities
  • Coordination among engineering, UX and AI-related workstreams

What I am not claiming

This case study does not present me as the engineer who personally trained the underlying NLP or computer-vision models. The contribution was product/system leadership and cross-functional execution.

03 / System thinking

From capability to usable product

The core product problem was not simply “use AI.” It was to connect emerging AI capabilities to a coherent accessibility workflow, define what should be built, and coordinate the technical and UX dependencies required to make the experience usable.
04 / Context

AI product leadership as a data-science differentiator

This experience complements hands-on data-science work by adding product judgment: framing the decision, understanding users, identifying measurable outcomes and translating technical output into something that can be deployed and adopted.