Applied Computer Science senior at King Mongkut's University of Technology Thonburi (KMUTT) specializing in backend systems architecture, containerized distributed workflows, and applied machine learning. Experienced in architecting decoupled client-server platforms, event-driven background queues, and production-oriented NLP pipelines.
- Distributed Systems & Architecture: Engineering decoupled agent-server topologies, asynchronous event queues (Docker, Redis), and real-time bidirectional telemetry (WebSockets).
- Machine Learning & Applied AI: Designing end-to-end pipelines ranging from anomaly classification (NIDS) to fine-tuned Transformer architectures (XLM-RoBERTa).
- Engineering Standards & Reliability: Implementing automated integration test suites (Selenium, Robot Framework) and standardized CI/CD workflows for reproducible delivery.
- Objective: Targeting Software Engineer and Backend Developer positions focused on resilient architecture, distributed infrastructure, and high-performance services.
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IoT Fleet Infrastructure & Distributed Control Scalable decoupled Agent-Server distributed architecture engineered for automated fleet management, telemetry dispatch, and resilient remote operation under high concurrency.
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Distributed Background Processing Engine Containerized background job processing system featuring real-time WebSocket telemetry, concurrency throttling, failure recovery, and verifiable throughput under load.
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NLP Analytics Pipeline & Decision Platform End-to-end review intelligence platform benchmarking baseline statistical models against fine-tuned XLM-RoBERTa deep learning models, integrated with an analytical dashboard.
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Network Traffic Anomaly Classification Machine learning classification engine for identifying malicious network patterns and anomalous packet flows, structured around reproducible data pipelines.
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Standardized Test Automation Framework Enterprise-grade QA environment implementing modular Robot Framework suites, Selenium WebDriver automation, and standardized continuous testing practices.
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WebGL Heuristic & Graph Traversal Visualizer Zero-dependency 3D WebGL laboratory analyzing Knight's Tour problem heuristics, comparing Warnsdorff's algorithm with recursive backtracking under physical leap kinematics.
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Open to discussing software engineering roles, backend infrastructure opportunities, and collaborative technical initiatives.
