Binhao Technology
- Applied AI Engineer (May 2026 – Sep 2026), Remote
- Embedded with business and engineering users to map end-to-end OEM/ODM workflows and translate operational requirements across customer intake, quotation, BOM management, tooling, sampling, procurement, and production preparation into scoped AI automation projects.
- Built Python-based unified project data pipeline to ingest Excel, Word, PDF, PPT, image, and system-export data, normalizing product information while tracking field-level provenance, versions, confidence, and conflicts.
- Developed LLM-powered document intelligence workflows to extract structured customer requirements, retrieve similar historical products and BOMs, and generate grounded quotation and sample-BOM drafts while identifying missing and conflicting information for review.
- Automated downstream document and workflow generation for quotations, design requests, tooling applications, T1/T2 sample notices, procurement requests, and BOM updates, incorporating human-in-the-loop approval and validation guardrails.
Amazon Web Services — Amazon Connect
- Software Development Engineer (Feb 2023 – Apr 2026), Seattle, WA
- Built and operated customer-facing metrics platform powering near-real-time contact-center analytics, handling 280K TPS and supporting metric computation, data storage, validation, and API-based metric access as daily customer interactions grew from 10M+ to 20M+.
- Led end-to-end delivery of outbound-campaign metrics, translating product requirements into metric definitions and driving data contract alignment across upstream and backend systems; resolved launch-blocking schema gaps and extended the platform for new data structures. Worked backward from launch to coordinate dependencies, drive launch-readiness reviews and org-wide bug bashes, and execute rollout across 10 AWS Regions.
- Owned and productionized a metrics validation service using AWS Lambda, DynamoDB, OpenSearch, and S3, expanding pre-launch validation coverage to over 90%, reducing customer complaints related to metric definitions by approximately 70%, and cutting investigation time for related support tickets from one day to two hours.
- Extended the validation platform with retrieval-grounded LLM workflows and structured tool interfaces for metric onboarding, validation, and debugging, using DynamoDB and OpenSearch context with validation guardrails.
- Led service expansion into six new AWS regions, coordinating cross-team dependencies and launch readiness; introduced an AI-assisted SOP-to-workflow prototype that reduced expansion cycles from two weeks to one.
- Owned the design and delivery of an asynchronous cross-region OpenSearch data-deletion workflow with load-aware throttling, idempotent execution, and verification to meet compliance requirements without impacting availability.
- Owned CI/CD, monitoring, and on-call operations for services maintaining 99.95%+ availability.
- Software Development Engineer Intern (Jun 2022 – Sep 2022), Seattle, WA
- Prototyped a metrics validation service using AWS Lambda, DynamoDB, OpenSearch, and S3; demonstrated it across the organization and later productionized it as a full-time engineer.
