Public projects across AI systems, retrieval evaluation, local context, and media evidence, alongside business analysis and decision-support work.
Voice assistants are often fast or capable, but rarely preserve both low-latency conversation and the tools, approvals, and persistent context of a desktop agent.
Built wake-phrase capture, interruption-aware native audio, semantic handoff, streamed Codex commentary and final playback, and a signed public-alpha update path.
Long-running agents lose useful context when knowledge is scattered across static notes, transcripts, and opaque indexes.
Designed a provenance-aware architecture with route-first retrieval, rebuildable indexes, and explicit source trails.
Retrieval changes are difficult to compare when relevance, freshness, multilingual coverage, and root trails are evaluated informally.
Built repeatable fixtures and tests for ranking, freshness, multilingual retrieval, and root-first evidence trails.
Useful evidence in video is spread across captions, audio, and visual frames, making precise review difficult.
Combined caption retrieval, local transcription fallback, and sampled frames into one inspectable evidence bundle.
Long session histories are too large and noisy to reuse safely as working context.
Turned session records into bounded context with explicit source boundaries and time-aware provenance.
Relevant personal context lives across local apps, but broad collection creates unnecessary privacy and noise.
Built a selective Swift collector for bounded Mail, Calendar, Reminders, and Notification Center context.
Selected work across dashboards, analytics, operations, and consulting.
Built and integrated interactive Power BI dashboards, consolidated financial and tax data across subsidiaries, and supported transfer-pricing documentation.
Used Tableau and SAP Analytics Cloud to make performance legible, planned 50+ data-driven campaigns, and executed 100+ Coupang campaigns.
Collected 100+ competitor data points through web crawling and turned them into an interactive decision-support dashboard.
7+ stakeholder interviews and subscription-model recommendations presented to management.
5+ interviews and market research shaped visibility and go-to-market direction.
Operational and financial analysis grounded in 5+ stakeholder interviews.
An application concept and three financial analyses tested feasibility and strategic fit.