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PromyotKatarat/README.md

Hi there, I'm Promyot! πŸ‘‹

Bridging the gap between Cybersecurity and Artificial Intelligence.
I am transitioning from a highly analytical background in Managed Detection and Response (MDR) to AI Engineering. My passion lies in leveraging Machine Learning, Computer Vision, and NLP to build intelligent defensive systems and solve complex data challenges.


πŸ› οΈ Technical Arsenal


πŸ† Super AI Engineer Season 6 (Level 1) - Hackathon Showcase

Active participant across 8 distinct AI domains, focusing on end-to-end data processing, model training, and application.

Project Domain Description Achievement / Rank
πŸ«€ Healthcare Predictive Modeling Developed machine learning models to accurately predict cardiovascular disease risks. πŸ₯ˆ 2nd / 378
πŸ“„ Thai Election OCR Built data extraction pipelines to digitize scanned Thai general election result documents. 270 / 571
🧠 FahMai RAG Challenge Implemented Retrieval-Augmented Generation (RAG) pipelines to enhance Large Language Model responses. 337 / 660
πŸ“Š Data Storytelling End-to-end analysis and visualization of Domestic Violence Incidents in Thailand. Completed
πŸ”  Thai Word Segmentation Applied NLP techniques to tokenize and segment complex Thai language structures. 105 / 353
πŸ–ΌοΈ Image Captioning (Thai) Utilized Computer Vision and NLP to generate descriptive Thai captions for images. 92 / 187
🏠 House Recognition Trained Vision models to classify and recognize architectural structures and housing features. 236 / 387
πŸ’€ Sleep Stage Classification Analyzed physiological time-series data to classify human sleep stages. 219 / 303

πŸ” Cybersecurity & Operations Background

Before diving into AI, I honed my analytical thinking in the trenches of Cybersecurity:

  • Cybersecurity Engineer (MDR): Triaged high-volume alerts, developed incident response playbooks, and hunted threats using Splunk and ELK Stack.
  • Cybersecurity Intern (Purple Team): Investigated critical vulnerabilities (e.g., SSRF-to-RCE) and analyzed complex web attack logs.
  • Top 1% on TryHackMe: Completed over 210+ hands-on labs in SOC and threat detection scenarios.

πŸš€ Certifications

  • AWS Certified Cloud Practitioner (AWS re/Start Program)
  • Google Professional Certifications: Crash Course on Python & Using Python to Interact with the OS
  • CompTIA CySA+ & PenTest+

GitHub Streak Top Languages

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  1. SuperAI-Season6-Portfolio SuperAI-Season6-Portfolio Public

    Comprehensive Portfolio of 8 AI Domains from Super AI Engineer Season 6 Hackathon

    Jupyter Notebook