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Sean Membrido
Intern Software Engineer specializing in AI/ML and full-stack development
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Full-stack engineer with fintech and AI product experience: built HuddleAI end-to-end on Firebase/React, including a serverless LLM meeting-intelligence pipeline (FFmpeg + Google Speech-to-Text + GPT-4 with schema validation) and Slack notifications. At Gemini, owned a Postgres/Scala workflow change for wire deposit approvals that cut blocked registrations by 60% and emphasized correctness/compliance in UK/EU transaction-state UI.
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Key Strengths
- Built an end-to-end meeting intelligence product (HuddleAI) spanning backend inference pipeline and frontend workspace UI
- Designed real-time Firestore listener architecture for async processing updates (reactive UI without polling)
- Implemented LLM pipeline: audio extraction (FFmpeg) → transcription/diarization (Google STT) → GPT-4 structured outputs with strict schema validation
- Shipped Slack webhook notifications and iterated prompts/schemas based on feedback from 4 university organizations
- Fintech workflow correctness: fixed frontend/backend API mapping issues impacting transaction status accuracy in UK/EU markets
- Designed Postgres-backed intermediary approval state for wire deposit registration flow; reduced blocked registrations by 60%
- Strong production-quality defaults: integration/E2E tests pre-deploy and Datadog monitoring post-deploy
- Early-stage ownership: automated client report pipelines in Python, cutting report generation time by 50%; helped grow to $200k ARR and 50+ clients
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