Professional Overview
I'm an experienced ML/MLOps/Software engineer who worked in all stages of ML lifecycle. I curated image datasets where data is scarce, built reproducible preprocessing steps, built and trained models, experimented with hyperparameters and deployed them on premises or to the cloud services in containers. I own ML systems end-to-end
Areas of Expertise
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
