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HM Peng

@hmpeng

Backend engineer specializing in search systems and data infrastructure, focused on database performance and reliability.

Taiwan

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What I'm looking for

I’m looking for a backend role where I can build high-availability search and data pipelines, optimize database performance, and own production systems with event-driven architecture and strong reliability practices.

I’m a backend engineer specializing in search systems and data infrastructure, with a strong focus on database performance optimization. I’ve designed and optimized Elasticsearch and Typesense-based search systems and built reliable data synchronization pipelines, delivering over 90% reduction in query latency and over 70% reduction in CPU usage through execution plan analysis, query restructuring, and database-level optimization.

In recent roles, I’ve architected zero-downtime search rebuilds and synchronization between PlanetScale (MySQL) and Typesense using dual-mode sync and blue-green switching, and built Node.js (TypeScript) RPC service layers to power search and content services. I also lead production performance work—analyzing execution plans, restructuring queries, and improving bilingual fuzzy search relevance—while integrating order processing pipelines and strengthening reliability through monitoring, alerting, and TDD-driven development practices.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer

Current

M12 Media

May 2025 - Present (1 year 1 month)

Designed a search data synchronization architecture for zero-downtime rebuilds between PlanetScale (MySQL) and Typesense, using blue-green collection switching to keep search available. Implemented a dual-mode sync pipeline (hook-based incremental updates plus scheduled full reindexing) and built TypeScript (Node.js) RPC services powering search and content.

Typesense Synchronization Query Optimization TypeScript RPC Event Driven Architecture Data Pipelines

Backend Engineer

Kadokawa Taiwan Corporation

Apr 2022 - Dec 2025 (3 years 8 months)

Led database performance optimization by analyzing execution plans and restructuring queries, reducing key query latency by 90%+ and CPU usage by 70%+. Built an Elasticsearch search system with custom Chinese analyzers (tokenization dictionaries and Simplified–Traditional conversion) and implemented an order-processing pipeline integrating Shopify/Shopline, ERP, and ECPay via webhooks with asynchr

Elasticsearch Query Optimization Execution Plans Simplified–Traditional Conversion Webhooks Asynchronous Integration Testing TDD

Backend Engineer

Twister5 Co., Ltd.

Mar 2021 - Apr 2022 (1 year 1 month)

Worked on a firewall log analytics system for time-series processing and operational reporting. Designed and optimized multi-dimensional Elasticsearch aggregation queries for a multi-node cluster ingesting 5–10 GB/day via Logstash, and implemented monitoring/alerting with custom metrics and real-time notifications.

Elasticsearch Aggregation Queries Logstash Monitoring Data Analytics