I am an AI & Machine Learning Enthusiast passionate about exploring modern deep learning, Large Language Models (LLMs), agentic workflows, and data-driven systems.
My work and exploration center on:
- Applied Machine Learning & Deep Learning: Experimenting with neural network models, statistical modeling, hypothesis testing, and rigorous data pipelines.
- LLM Systems & AI Agents: Investigating model behavior, prompt calibration, autonomous agent orchestration, and context-aware tool protocols (MCP).
- Empirical Rigor & Integrity: Grounding machine learning experiments in verifiable data, distribution-aware metrics, and deterministic evaluation benchmarks.
|
Scientific Writing Standard & Automated Thesis Formatter Enforcing authentic academic prose, stylometric burstiness calibration, strict APA/IEEE typographic standards, open 3-line tables, and automated DOCX generation.
|
LLM Agent Quota Auto-Pilot & Multi-Account Supervisor High-reliability quota management for heavy AI agent workflows. Features dynamic sliding-window telemetry for Gemini, Claude, and GPT models, zero-reauth Chrome CDP session resumption, and Model Context Protocol (MCP) server monitoring.
|
-FF4B4B?style=flat-square&logo=anthropic&logoColor=white&labelColor=161B22){kind=icon}
