Professional Overview
AI Engineer focused on building practical AI products, intelligent automation, and LLM-powered systems. I develop production-oriented applications using Python, FastAPI, Docker, and modern AI models to solve real business problems. My recent work includes multi-agent architectures, lead intelligence platforms, automated outreach pipelines, web craw
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI-powered SaaS applications using Python and FastAPI
- Designed multi-agent workflows for business automation
- Integrated LLM APIs including Claude and DeepSeek
- Developed lead intelligence and website auditing pipelines
- Containerized applications with Docker for deployment
Key Achievements / KPIs
- Built multiple production-style AI applications independently
- Processed over 1B LLM tokens while developing AI systems
- Created end-to-end AI lead generation pipeline
- Published open-source AI projects on GitHub
Education
Field of Study: Business Management and Marketing
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.
