Professional Overview
I am an AI Engineer currently advancing his expertise through a Master of Science in Computer Science at the University of Eastern Finland. My professional journey is characterized by a deep focus on the practical application of artificial intelligence, from research to production.I possesses extensive hands-on experience in designing and implementing intelligent systems across various domains. His core competencies lie in Natural Language Processing—where I had built advanced systems using Transformers, LangChain, and RAG—and Computer Vision, with significant projects in OCR, image segmentation, and object detection using models like YOLO and UNet. A key aspect of my skill set is MLOps; I am proficient in containerizing applications with Docker, orchestrating with Kubernetes, and building robust CI/CD pipelines to ensure scalable and reliable deployments on cloud platforms like GCP and AWS.My experience includes developing a self-learning AI recruitment agent at Synapse, engineering a real-time health emergency platform at ICONFlyertech, and contributing to open-source education as part of the founding team for a Hugging Face computer vision course. My research contributions include IEEE publications on rumor detection using hybrid CNN models and a comparative analysis of object detection models for maritime surveillance.Driven by a passion for innovation, I consistently seeking to leverage the latest advancements in AI to create solutions that are not only technologically sophisticated but also deliver measurable business value.