./about

Patiphan Akkahadsri
Bangkok, TH
Open to opportunitiesInternship
Experience
5+
Projects
Cloud Native
Focus
Information Technology student with internship experience in backend systems and data workflows. Interested in open-source, cloud-native architecture, and building scalable, reliable systems — from low-level Unix environments to distributed infrastructure.
currently
Selected work on distributed systems, data pipelines, and machine learning systems.

A fault-tolerant batch pipeline for marathon telemetry. It leverages Referential Transparency and Strong Typing to reconcile inconsistent multi-source data (XLSX & IoT) with 100% deterministic results.

A comprehensive, code-first guide bridging high-level mathematical theory with IT applications. Covering Phase 1 (Foundations) to Phase 2 (Advanced Analysis) for ML, Graphics, and System Reliability.

Advanced Thai medical document analysis system developed during CMKL Hackathon. Combines OCR with LLMs for intelligent question-answering over clinical records.

End-to-end ML pipeline for coral detection with real-time monitoring.

A robust real-time quiz platform featuring secure authentication and instant state synchronization for interactive learning.

A high-performance tool for estimating depth from 2D images. Utilizes a U-Net architecture with a ResNet backbone, optimized for cross-platform inference via the ONNX runtime.
./skills
Focused on building scalable systems, data pipelines, and cloud-native infrastructure.
Languages and core programming foundations for building systems
API design, concurrency, and scalable backend services
Relational, NoSQL, and Vector storage for applications
ETL workflows, batch processing, and data transformation
Real-time pipelines, messaging systems, and event-driven architecture
Parallel and distributed computation, scalable processing, and high-performance systems
Model development, training, and evaluation
Model lifecycle, experiment tracking, and deployment systems
LLM applications, RAG pipelines, and agent systems
CDN, DNS, and traffic routing at the edge layer
Reverse proxy, routing, and web server layer
Containerization and orchestration systems
Cloud platforms, CI/CD pipelines, and deployment workflows
Linux, shell, and low-level system fundamentals
Collaboration, API testing, and developer workflows