Professional Overview
I am an AI Engineer with 8+ year experience specializing in n8n, Python, FastAPI, RAG, LangChain, LangGraph, GoHighLevel, and AI-powered SaaS. I build scalable agents, API integrations, CRM automations, and production workflows that reduce manual work and improve business efficiency.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built LLM, RAG, and multi-agent systems with Python and LangGraph.
- Developed FastAPI services, AI workflows, and model integrations.
- Automated CRM, lead generation, outreach, and support using n8n.
- Integrated GoHighLevel, Twilio, Gmail, PostgreSQL, and APIs.
- Improved reliability with testing, monitoring, and error handling.
Key Achievements / KPIs
- Reduced manual work through production-ready AI automation.
- Improved AI response quality with RAG and prompt optimization.
- Accelerated SaaS delivery with reusable AI and API integrations
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built LLM, RAG, and multi-agent systems with Python and LangGraph.
- Developed FastAPI services, AI workflows, and model integrations.
- Automated CRM, lead generation, outreach, and support using n8n.
- Integrated GoHighLevel, Twilio, Gmail, PostgreSQL, and APIs.
- Improved reliability with testing, monitoring, and error handling.
Key Achievements / KPIs
- Reduced manual work through production-ready AI automation.
- Improved AI response quality with RAG and prompt optimization.
- Accelerated SaaS delivery with reusable AI and API integrations
Education
Field of Study: Machine learning
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.