JioTranslate — AI-Powered Language Systems

Operationalizing reliable AI-driven language capabilities at scale

Context & Problem

As collaboration and communication products expanded across regions, language became a major barrier.

While AI-based translation existed, reliability, latency, and trust were critical challenges — especially in real-time and enterprise contexts.

My Role & Ownership

I led product strategy for AI-powered language systems, covering UX design, feature prioritization, accuracy metrics, and cross-platform consistency.

Constraints & Trade-offs

  • Real-time performance requirements
  • Language variability and contextual accuracy
  • User trust expectations
  • Balancing innovation with stability

Key Decisions

  • Designed translation UX before model optimization
  • Defined accuracy and latency metrics upfront
  • Prioritized context-aware translation
  • Ensured consistent experiences across platforms

Impact & Outcomes

  • Delivered reliable real-time translation across products
  • Built strong user trust in AI-driven communication
  • Created a reusable AI foundation across use cases

What I Learned

AI earns trust through consistency and reliability, not novelty.

What I’d Do Differently Today

I would invest earlier in explainability signals to make AI behavior more transparent.