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- ⚡ Status: Open to work / Available for hire. Ready to build full-stack AI systems, agentic architectures, and high-throughput backends. Let's talk!
- 🔭 Building full stack web and mobile apps embedded with practical AI
- 🎓 Master student in AI & Data Science at CADT
- 🧠 Focus: AI systems, OCR pipelines, and high-throughput backend services
- 💬 Ask me about FastAPI, NestJS, Flutter, Next.js, or PyTorch
- ⚡ Fun fact: i know nth but nth doesn't know me :')
- 🎓 Graduate studies: Master in AI & Data Science at CADT
- 🔬 Computer vision & OCR: Building synthetic datasets and fine-tuning TrOCR & YOLOv8 for Khmer document extraction
- 🤖 Agentic systems: Designing multi-agent harnesses, custom MCP servers, and automation pipelines
- 🚀 Shipping: Developing full stack web apps, Telegram bots, and automated scheduling workflows
🤖 AI Telemetry & Token Metrics (via Token Monitor)
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⏱ Today's AI Compute : 53.06M tokens ($9.40)
🔤 Lifetime Token Volume : 3.43 Billion tokens ($840.53 across 124 days)
⚡ Prompt Cache Efficiency : 75.9% cache hit (2.61B cache-read tokens)
🧠 Primary Driver : Google Antigravity (IDE & CLI) with Gemini 3.8 Flash
Model & Agent Distribution:
Gemini 3.8 Flash 3.17B tokens ███████████████████████░░ 92.3 %
Gemini 3.7 / Local Models 0.26B tokens █░░░░░░░░░░░░░░░░░░░░░░░░ 7.7 %
Agentic Engineering Insights:
• High-Efficiency Prompter : Strict ponytail & YAGNI enforcement with prompt cache reuse
• Autonomous Execution : 20,302+ lifetime tool calls across IDE & CLI workflows
• Custom Agent Harness : Zero-slop skill rules and local MCP servers in daily pairing
• High Reasoning Density : 8.35M reasoning tokens generated
────────────────────────────────────────────────────────────────────────
- 🤖 Autonomous coding: Google Antigravity CLI as daily driver with Gemini 3.8 Flash for multi-step reasoning, test-driven iteration, and codebase audits.
- 🛠️ Protocols & tools: Model Context Protocol (MCP) servers and browser agents for live database inspections, research verification, and file operations.
- 🔄 Orchestration & pipelines: OpenClaw, n8n webhooks, and Claude Code for event-driven agent workflows and scheduled tasks.
- 👁️ Applied vision & OCR: Fine-tuning TrOCR and YOLOv8 models on low-resource Khmer script with synthetic data pipelines.
I'm an Early 🐤
🌞 Morning 25517 commits █████░░░░░░░░░░░░░░░░░░░░ 18.35 %
🌆 Daytime 53280 commits ██████████░░░░░░░░░░░░░░░ 38.32 %
🌃 Evening 38283 commits ███████░░░░░░░░░░░░░░░░░░ 27.53 %
🌙 Night 21955 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.79 %
📅 I'm Most Productive on Thursday
Monday 15101 commits ███░░░░░░░░░░░░░░░░░░░░░░ 10.86 %
Tuesday 18340 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.19 %
Wednesday 15317 commits ███░░░░░░░░░░░░░░░░░░░░░░ 11.02 %
Thursday 28259 commits █████░░░░░░░░░░░░░░░░░░░░ 20.33 %
Friday 15263 commits ███░░░░░░░░░░░░░░░░░░░░░░ 10.98 %
Saturday 26421 commits █████░░░░░░░░░░░░░░░░░░░░ 19.00 %
Sunday 20334 commits ████░░░░░░░░░░░░░░░░░░░░░ 14.63 %
📊 This Week I Spent My Time On
🕑︎ Time Zone: Asia/Phnom_Penh
💬 Programming Languages:
No Activity Tracked This Week
🔥 Editors:
No Activity Tracked This Week
💻 Operating System:
No Activity Tracked This Week
I Mostly Code in TypeScript
TypeScript 53 repos ███████████░░░░░░░░░░░░░░ 43.80 %
Python 19 repos ████░░░░░░░░░░░░░░░░░░░░░ 15.70 %
Jupyter Notebook 14 repos ███░░░░░░░░░░░░░░░░░░░░░░ 11.57 %
JavaScript 12 repos ██░░░░░░░░░░░░░░░░░░░░░░░ 09.92 %
Shell 1 repo ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.83 %
Last Updated on 16/10/2026 09:58:05 UTC
