Professional Overview
LLM Engineer, 5+ years shipping production RAG pipelines, AI agents, and LLM integrations. Python, LangChain, LlamaIndex, vector DBs (pgvector), FastAPI, Docker, OpenAI/Claude/Gemini. Built AI RAG Assistant (source-cited answers, 200+ users) and AI Document Processor (-60% manual work). Reliable AI systems, end to end.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI RAG Assistant: production RAG system with LangChain, LlamaIndex, and pg
- Developed AI Document Processor reducing manual processing time by 60%
- Engineered AI agent and workflow automations with n8n, Make, and LLM APIs
- Built AI chatbot and support automation with WhatsApp API and LLM context
Key Achievements / KPIs
- Shipped production AI systems used by 200+ internal users
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and deployed production RAG pipelines with vector databases for document i
- Integrated pre-trained LLM APIs (Claude, OpenAI, Gemini) into production applica
- Built AI chatbots and document-intelligence tools handling PDF, DOCX, TXT and CS
- Built n8n and Make.com automations connecting internal systems, reducing manual
Key Achievements / KPIs
- Achieved 40% faster document processing and 60% less manual data entry
- Reduced support response time from 24h to under 2h for 200+ users
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built HR web application and helpdesk system with Node.js, automating manual pro
- Managed data processing and integrity across systems, ensuring zero data loss
- Provided technical support and troubleshooting for internal teams across the com
Education
Field of Study: Computer Science
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.