At FlintLab Inc., I built a log-embedding pipeline for an internal AI-powered RCA system, using vector retrieval to surface relevant failure patterns in distributed microservice logs.
I architected production Python/FastAPI microservices with Redis Pub/Sub for allocation, automation, logging, and session workflows across Android and iOS devices. I also developed Next.js features integrated with backend APIs.
I designed and led the iOS platform implementation, including device streaming, interaction, recording, and IPA resigning. For Android observability, I engineered a pipeline that reduced representative log volume by 80%.
Earlier, as a Software Development Engineer Intern at FlintLab Inc., I reduced redundant frontend API calls by 30% and contributed to an SPA migration that cut routing time from 300 ms to 20 ms. I also built MyGVP Browser Extension & CLI, which serves students and processes academic result queries.
