Professional Overview
I have experience in things ranging from Recommendation Systems to maintaining ML infrastructure. I have also worked on adding observability within the ML pipeline.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Available for hire
Full Time
Part Time
Contract
AI Expertise
Experience Level
entry-level
