
OCR · LaTeX · Structured extraction
SAT2EZ · Document AI
Converts exam PDFs and images into structured questions, preserving math formulas and diagrams. Combines OCR, LLM validation, and an admin review UI.
View Document AI pipelineI build production AI solutions from raw unstructured inputs to daily operational tools: document OCR, image recognition, structured data extraction, and workflow automation. Full stack, backend, and mobile foundations enable me to ship end-to-end AI products.
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A glimpse into my everyday life beyond code — marathon running, travels, quiet coffee corners, and simple moments that matter.




















AI in Production
Focused on data extraction, AI integration, and systems operations — built on solid software engineering experience since 2021.

OCR · LaTeX · Structured extraction
Converts exam PDFs and images into structured questions, preserving math formulas and diagrams. Combines OCR, LLM validation, and an admin review UI.
View Document AI pipeline
Data ingestion · Bots · AI assistant
Transforms free-form rental posts into structured property databases; connects ingestion bots, distribution queues, and rental search assistants. Real-time dashboard tracks bot heartbeat and process health.
View automation systemDeveloped image-based coin identification at Nanobyte, optimizing AI inference costs to replicate across multiple identifier applications.
Peak monthly traffic for backend systems at Lutech. Experience in handling heavy workloads, infrastructure optimization, and delivering REST APIs for iOS / Android.
Professional experience
10/2024 — Present
Current project · 6 months as of Oct 2026.
Built automated bots that autonomously receive tasks from Jira, fetch assets from Google Cloud Storage (GCS), and execute business processes in SAP on Windows VDI environments.
Managed multi-bot infrastructure, task orchestration, and health monitoring. Responsible for bot build, unit testing, debugging, fixing, and impact analysis.
Prior projects: Java Spring Boot / Spring Cloud for Japanese enterprise systems; modernized Java 6 → 8, regression testing, FUT, and root-cause analysis.
09/2021 — 02/2023
Developed AI image recognition features for Coin Identifier on Android (Kotlin), optimizing prompt pipelines and API costs.
Implemented custom camera view with real-time framing and image preprocessing for high-accuracy inference.
03/2023 — 09/2024
Engineered high-traffic media proxy and API services serving iOS and Android mobile apps, handling peak traffic up to 200 TB/month.
Built automated crawling bots to ingest media and system health alert bots via Telegram.
Let’s discuss AI, OCR & Automation
English (Professional Working) · Vietnamese (Native) · Japanese (N4)
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Comprehensive engineering stack spanning Applied AI, Automation, Mobile, Frontend, Backend, and Cloud DevOps.
Applied AI:
Gemini Vision, OpenAI-compatible APIs, OCR.space, PDF extraction, LaTeX / KaTeX, structured JSONAutomation:
SAP on Windows VDI, Jira, GCS, multi-machine bot operations, n8n, retry / fallback, SSEMobile:
Flutter, Android (Kotlin), iOS (Swift), Jetpack ComposeFront-End:
React, NextJS, TypeScript, HTML5/CSS3Back-End:
Java (Spring Boot), Node.js, NestJS, Express, PythonDatabases:
MySQL, PostgreSQL, MongoDB, Redis, SQLiteCloud & DevOps:
Docker, GCP, AWS, CI/CD (Jenkins, Git), NginxTools & Platforms:
Wordpress, N8N, Firebase, SonarQube, JiraOthers:
Microservices, JUnit, integration & regression testing, root cause analysis