I am an Artificial Intelligence Engineer specializing in Generative AI, data science, computer vision, and end-to-end intelligent systems. I build practical solutions that transform complex data into clear, useful decisions.
My work includes RAG-based AI agents, LLM applications, multimodal diagnostic systems, recommendation engines, and edge AI deployments. I have hands-on experience designing retrieval pipelines, knowledge-graph-grounded agents, forecasting models, and computer vision solutions.
I currently lead AI research and engineering initiatives spanning circular economy, agriculture, livestock health, sustainable materials, and public innovation. My projects combine backend services, agentic workflows, explainable AI, and production-oriented deployment practices.
I am an IEEE-published researcher with work in vision transformers, object detection, medical imaging, SAR remote sensing, and AI for healthcare and agriculture. I have contributed as a corresponding author and co-author to multiple international conference publications.
I work primarily with Python and modern ML tooling including PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, and cloud AI platforms. I am certified across Microsoft, Huawei Cloud, Oracle, NVIDIA, Red Hat, and AWS ecosystems.
I am motivated by solving high-impact problems through responsible AI, collaborative research, and scalable engineering. I bring leadership, technical curiosity, and experience working across multidisciplinary teams and international research collaborations.
