Professional Overview
I am an IT Operation Engineer and Full Stack Developer specializing in Linux server administration, database architecture, and Computer Vision. I bridge the gap between software development and infrastructure by deploying robust backend solutions using Node.js, Laravel, and MySQL/ClickHouse on Linux VPS environments. A major highlight of my work is developing a digital face detection system from scratch utilizing YOLOv8x, OpenCV data augmentation, and PyTorch. I am highly proficient in writing Python and Shell (.sh) scripts for system automation, API alerting, and proactive troubleshooting. By leveraging AI-assisted coding workflows and a first-principles approach to problem-solving, I help build, deploy, and maintain reliable production-ready systems that scale efficiently.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
