Professional Overview
I'm an AI Engineer specializing in LLM applications, RAG systems, backend development, and AI infrastructure. I build production-oriented AI solutions using Python, FastAPI, PostgreSQL, vector databases, and cloud technologies. My hands-on experience includes developing hybrid search pipelines, embedding workflows, metadata management, and AI-powered applications. I've worked with tools such as Qdrant, pgvector, Redis, Docker, and OpenAI embeddings to build scalable systems for document retrieval and intelligent search. I'm interested in remote AI Engineer, Generative AI Engineer, ML Engineer, and MLOps opportunities where I can contribute to building reliable AI products, improving system performance, and solving real business problems. I value practical execution, clean architecture, and continuous 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.
