Professional Overview
I am an AI/ML Engineer and Developer with hands-on experience in building intelligent applications and developing practical AI solutions. My technical skills include Python, Machine Learning, Deep Learning, Neural Networks, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Computer Vision, and Knowledge Graphs. I currently work as an AI Engineering Intern at iCog Labs, where I contribute to BioCypher projects, develop and extend data adapters, integrate biological data into knowledge graphs, and work with technologies such as Neo4j and MeTTa. I also build AI-powered applications involving intelligent search, document analysis, multi-agent systems, and RAG pipelines. My development toolkit includes Python, PyTorch, TensorFlow, FastAPI, LangChain, LangGraph, Docker, SQL, and modern AI frameworks. I focus on building reliable, scalable, and useful AI systems, solving real-world technical problems, collaborating with engineering teams, and continuously improving my skills through practical development and research.
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.
