Professional Overview
AI engineer focused on building agentic and RAG-based systems that actually solve business problems, not just proof-of-concepts. I've built an AI receptionist for a dental clinic using LangChain-style agent flows with Groq, Supabase and Telegram integration, and an AI inventory/order-tracking system for a wholesale distribution business that automates decisions a human used to make manually. I also built a RAG-based inventory chatbot on Supabase + OpenAI, and LectroNotes, a lecture-to-notes pipeline using Whisper and BART. My core stack is Python, FastAPI, LangChain, OpenAI/Groq APIs, Supabase/PostgreSQL and React. I'm currently a BS Artificial Intelligence student who freelances alongside studies, so I move fast, communicate clearly, and care more about the agent actually working in production than how clean the demo looks.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
