Since 2014, I have actively worked in IT, focusing on excelling in AI and data science. My specialty lies in designing scalable, robust, and intelligent systems, built on top of cloud infrastructure, distributed computing, and cutting-edge AI technologies. My expertise spans Machine/Deep Learning, Software Enginering, Cloud Computing (Mainly AWS stack), Kubernetes, message queuing systems, and containerization, where I design, build, and deploy high-performance solutions that optimize distributed processes.Currently, I lead the development of a generative AI platform that integrates Retrieval-Augmented Generation, Knowledge Graphs, and LLMs to create customized question-answering systems. The platform supports contextual retrieval in multiple languages and handles large document corpora, enabling users to interact with a conversational AI that retains chat details across questions. It also processes and embeds images within responses, delivering high-quality answers. While the system is built on a robust backend, it is presented to users through a non-intrusive Google Chrome extension, ensuring seamless interaction. Additionally, the platform incorporates a feedback mechanism, allowing users to evaluate their interactions and continuously improving both the precision and response time of cached answers.With a strong foundation in traditional machine learning and deep learning, I am good at connecting cutting-edge technologies with real-world scalability needs. My approach ensures that AI solutions are not only intelligent but resilient and efficient for businesses to make data-driven decisions over complex environments.