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.
Experience
AI Expertise
Skills
Employment Type
AI Expertise
Skills
Employment Type
Education
Field of Study: Artificial Intelligence and Machine learning
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.
