Context
As the sole engineer at an early-stage VC fund with 70+ portfolio companies across Southeast Asia and South Asia, I was responsible for all technical systems — from data infrastructure to AI tooling to internal operations.
What I Did
- AI-Powered Deal Tools: Built a custom MCP (Model Context Protocol) server giving the team natural-language access to Airtable, Notion, Slack, and internal data. Evolved through multiple major versions; now handles hundreds of queries per month.
- Voice AI Pipeline: Designed a voice cloning pipeline using pyannote.audio and the Grain REST API to create ElevenLabs Professional Voice Clones for 18 team members. Evaluated multiple architectures (ElevenLabs+Vapi, Voiceflow, ElevenAgents) for automating founder outreach.
- Data Infrastructure: Architected end-to-end data pipelines — extraction, transformation, warehousing, and BI dashboards for SLA tracking, deal flow analytics, and portfolio performance monitoring.
- Operational Automation: Built Airtable extensions, n8n workflows, Slack integrations, and custom connectors to automate fund operations.
Stack
MCP, n8n, Airtable, Notion, Slack, pyannote.audio, ElevenLabs, Metabase, PostgreSQL, Airbyte, Pipedream
Outcome
- Hundreds of AI queries processed monthly via MCP server
- 18 professional voice clones created for the team
- Full data infrastructure built from zero — SLA dashboards, portfolio analytics, deal flow tracking
- Operational workflows automated across the fund