Professional Overview
I am an AI\ML engineer and an enthusiastic learner in this ever-growing field. I build production-ready AI systems, specializing in multimodal RAG, LLM engineering, FastAPI, Docker, Kubernetes, observability, and reliability—turning complex AI pipelines into scalable, robust, and deployable solutions.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.