Experience

My professional journey so far.

Software Engineer Videoverse

- Architected and scaled Partner API Service enabling broadcast and media partners to ingest live streams and retrieve real-time metadata; built a metadata orchestration layer to normalize, transform, and deliver AI-generated data in partner-specific formats, supporting production-critical workflows, handling 150K+ events/day at peak, and accelerating partner onboarding.

- Implemented external integrations within the Publisher Service (Dropbox, OneDrive, Slack, etc.), automating clip delivery and reducing turnaround time for enterprise media workflows.

- Designed the architecture for the match-schedule ingestion pipeline (push + pull modes), defining data flows and failure handling to support rapid onboarding at scale, covering 100+ tournaments, 1,000+ teams, and 15K+ players.

- Owned P0/P1 production incidents across partner-facing systems, leading debugging, root-cause analysis, and postmortems; introduced structured on-call and RCA practices that reduced recurrence of partner-visible issues.

- Led organization-wide logs, alerts, and monitoring migration from Datadog to Last9 with PagerDuty integration, designing PromQL-based indicators and alert routing to improve incident detection and response across revenue-critical services.

- Designed and implemented a dual-write migration strategy to propagate collection-level data changes from MongoDB to PostgreSQL using SNS, achieving <100ms propagation latency, and built backfill pipelines to migrate historical data safely.

- Stack: NestJS, PostgreSQL, Redis, SNS, SQS, Lambda, MongoDB.

TypeScriptGolangAWSMicroservicesNest.jsEvent-driven ArchitectureMongoDBRedisPostgreSQL
Software Engineer I Lets Dive

- Built a webhook-based calendar synchronization system for Google and Outlook, enabling real-time meeting tracking and delivery of AI-generated summaries ; integrated with Google Docs, ClickUp, Notion, and HubSpot to publish post-call summaries, contributing to a ~25% increase in user engagement.

- Designed and implemented a Telegram-based AI voice chatbot using LLMs (Pygmalion-7B, Mythallion-13B) and ElevenLabs, handling voice and message delivery via AWS ELB and Lambda.

- Stack: Python (Django), MariaDB, Redis, Supabase, AWS Lambda, EBS, SQS, React.js, Redux, Slate.js

PythonNode.jsReact.jsDjangoLLMAWSRedisMariaDBSocket.IO
Software Engineer Intern Lets Dive

- Developed iframe-based micro-apps using an event-emitter pattern, averaging 6,000 monthly invocations ; built a reusable Svelte component library and CI/CD pipelines, reducing development time by ~60%.

SvelteCI/CDFrontendMicro-appsDeveloper Tooling
Full size image