Professional Overview
Cloud and AI Engineer with hands-on experience building automation, monitoring, and forecasting solutions using AWS, Azure, Github and Python. Experienced in leveraging AI tools to accelerate problem-solving, automate workflows, and rapidly learn new technologies. Experience practical project implementation through internships and self-driven projects.
Experience
Employment Type
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
