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Thai A. — Senior Infrastructure Engineer from Vietnam

Thai A.

Senior Infrastructure Engineer

Vietnam 3-6 years
Open to offersNew to Platform
Languages
English
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About

Thai A. is a accomplished Founding Engineer and Principal Backend Developer with over 7 years of experience in building and scaling distributed backend systems. Known for designing a real-time Emotional AI Platform, he emphasizes architectural simplicity to enhance developer velocity and system stability. At DNA Project, he ingeniously crafted a custom Inverted Index Engine on Redis/RocksDB, enabling high-performance data handling with 2,847 QPS at P95 < 5ms latency and enabling atomic transactions in 1 RTT. Additionally, he engineered a 4-Layer Hybrid AI Agent that significantly cut cloud inference costs by 90% using edge computing strategies. In his tenure at Execution Lab, he spearheaded backend architecture development for enterprise-scale payment systems, implementing the Saga Pattern for data consistency and sharding strategies for database scalability. His expertise spans Python, Redis with Lua, and Scalable Architectures, underscoring a profound ability to solve operational challenges effectively.

Experience

  • Senior Backend Engineer

    Execution Lab · 2020 — 2026
    Oversaw the backend architecture for enterprise-level payment and data systems with a focus on reliability and scalability. Addressed 'Double-Spending' and data inconsistency in MySQL and Kafka through the implementation of the Saga Pattern and Transactional Outbox. Improved MySQL throughput by applying Application-Level Sharding and optimizing Celery workers. Refactored legacy codebases for enhanced API performance and maintainability.

  • Founding Engineer

    DNA PROJECT (Private Client) · 2023 — Present
    Architected a real-time Emotional AI Platform, emphasizing simplicity in architecture to enhance developer velocity and ensure system stability. Designed a custom Inverted Index Engine on Redis/RocksDB utilizing Lua scripts to reduce latency and manage fragmented microservices. Created a 4-Layer Hybrid AI Agent to mitigate high cloud inference costs and privacy issues, applying a 'Filter-First' strategy for local semantic search.

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