Current April 2026 — Present
Pipeline AI
Backend Engineering Intern/Remote (San Francisco, US)/UC Berkeley SkyDeck Backed
FastAPIMongoDBAzureAI Agents
- Engineered an automated AI meeting booking agent leveraging LLMs & prospect context, reducing average response times from 10 hours to under 5 minutes and boosting booked rates from 16% to 60%+.
- Deployed the Hermes AI agent on Azure VMs integrated with Model Context Protocols (MCPs for Slack, MongoDB, Fireflies) to automate complex customer success queries, and contributed a documentation PR to the official Hermes open-source repository.
- Architected a fully autonomous AI-driven ETL pipeline cron job that automates the extraction of actionable business insights from raw unstructured data, cutting manual workflow times by 50%.
- Established the backend repo's automated testing suite using pytest and GitHub Actions, achieving 70% test coverage and designing self-learning Cursor skills (with @ reference) for automated test updates.
- Designed and served high-throughput backend APIs for CRM dashboard lead enrichment and rep performance leaderboards, implementing Webhooks fallbacks to resolve critical live chat synchronization bugs.
