Shein AI Modesty Classification System
Production-grade system that scrapes Shein's clothing catalog, extracts product metadata, and classifies images using AI-powered modesty detection.
Hello, I'm
Senior MLOps Engineer
Engineering Intelligence into Infrastructure — Where AI Meets Automation at Scale
I believe in the power of automation and building robust ML pipelines that scale. Bridging Machine Learning & Infrastructure with Scalable, Secure, and Intelligent Systems. From vision-language models to real-time data pipelines, I architect end-to-end solutions that transform raw data into production-ready AI systems.
My professional journey
Leading MLOps initiatives, designing scalable infrastructure, and building production-ready ML systems. Responsible for the entire ML lifecycle from development to deployment.
Focused on ML model automation, OCR extraction systems, and building predictive models using machine learning algorithms.
Intensive training program focused on Python development, data science fundamentals, and object detection models.
A selection of projects I've worked on
Production-grade system that scrapes Shein's clothing catalog, extracts product metadata, and classifies images using AI-powered modesty detection.
Large-scale UK property intelligence system with automated crawling, price tracking, and AI-enhanced OCR for energy performance certificate extraction.
Enterprise-grade AI platform for automated resume writing, cover letter generation using GPT-4 with sophisticated prompt engineering.
Enterprise AI system using Vision-Language Models to automatically classify products into hierarchical taxonomy for Australian e-commerce marketplace.
Serverless AI-powered system for extracting and structuring financial announcements from Australian Stock Exchange using Claude 3 Haiku.
Automated system for extracting structured geometric and semantic information from architectural floorplans using YOLO and OCR.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
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