ArchishaSahai

Drop in PDFs, lecture videos, websites and notes, then ask questions. Every answer points back to the exact page or timestamp it came from, and Lumina can turn the same material into summaries, learning roadmaps and a two-voice podcast.

I shaped the idea, designed how people move from a pile of sources to something they understand, and built it end to end, including the checks that stop it from answering when it isn't sure.

• Product thinking
• Learning design
• Trust and safety
• AI engineering

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A toolkit developers use to build AI assistants that take several steps on their own. Its point is visibility: you can watch every step an agent takes, see why it chose it, and approve actions before they happen.

I designed it around the developer's experience first, then wrote the library, a command-line tool, a visual studio for inspecting runs, tests and the documentation site.

• Developer experience
• Systems design
• Documentation
• Testing

Read the docsSource

A social platform where creators earn rewards for what they post, built on the Solana blockchain. The challenge was making something technical feel simple and creator-first.

I designed the complete brand identity, the web and mobile app, and the pitch materials used to present it.

• Brand identity
• Product design
• Mobile UX
• Pitch storytelling

A Gmail extension that spots phishing emails while you read them. All the checking happens on your own device, so your inbox never leaves your computer. It is right 98.7% of the time and answers in under two seconds.

I built the model, then studied where it went wrong and what users reported, which cut false alarms by 63%.

• Research
• Listening to users
• Privacy by design
• Machine learning

Source

Ask a question across a whole course and get an answer with clickable timestamps that jump to the moment the lecturer said it. Broad questions, narrow ones and "which lecture covered this?" each get their own way of searching.

I built the whole path, from bringing in subtitle files to the search and the answers with their timestamps.

• Learning design
• Search
• AI engineering

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A browser extension that flags deepfakes as you browse, from edited photos and videos to AI-written text, so people can tell what's real before they share it.

I worked on the concept and on the experience of being warned without being alarmed.

• Product concept
• UX design
• Research

Source