Professional Overview
Results-driven AI Engineer with a strong foundation in Artificial Intelligence and Data Science (B.E., 9.44/10 CGPA) and hands-on expertise in developing end-to-end LLM applications, retrieval-augmented generation (RAG) systems, and scalable backend workflows. Proficient in Python, vector databases, REST APIs, and modern machine learning frameworks, with proven experience automating enterprise workflows and integrating AI models into production environments.
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.
