- Part of the development of the core algorithms and infrastructure for CMND.ai, enhancing business processes through advanced LLM integration.- Maintaining, fine-tinning, and training AI models to adapt to evolving business requirements and technological advancements.- Identifying and resolving critical issues within the core architecture of CMND.ai to ensure optimal functionality and reliability of the services.- Collaborating closely with product management and development teams to tailor LLM features that meet specific business needs.- Innovating new approaches to embed LLMs into business workflows, significantly improving efficiency and decision-making processes.- Continuously updating and refining core components to accommodate new client integrations and evolving business needs.- Innovating and implementing new features that expand the capabilities of LLM-based services, enhancing their applicability and impact on business operations.- Collaborating with cross-functional teams to ensure seamless integration and deployment of updated and new features within the existing systems.- Providing technical expertise in the development and modification of core systems, ensuring scalability and efficiency in handling increasing client demands.- Mentoring junior engineers and interns on the technical aspects of LLMs and their applications in business environments.

- Leading AI initiatives and projects at CyprusCodes, ensuring alignment with strategic goals.- Developing and maintaining robust backend services using python with Flask and FastAPI.- Crafting cutting-edge machine learning and deep learning models to drive innovation and enhance client offerings.- Responsible for AI research at CyprusCodes, advancing knowledge and application in the field.- Integrating AI tools and models into CyprusCodes software product lines to enhance functionality and user experience.- Collaborating with interdisciplinary teams to design and implement AI solutions that align with business goals and technical requirements.- Optimizing AI systems for improved performance, scalability, and efficiency within the company’s infrastructure.- Providing technical leadership and mentorship to junior developers and engineers in AI techniques and best practices.

- Implemented end-to-end ML/DL pipelines with TensorFlow and PyTorch, covering data preprocessing, model training, evaluation, and deployment.- Designed and implemented advanced computer vision using state-of-the-art techniques in deep learning including CNNs, RNNs, LSTMs , GANs, Fast R-CNN, Faster R-CNN, and more. - Optimizing and refining existing algorithms for improved performance and efficiency, utilizing advanced tools like Scikit-learn, Keras, and PyTorch.- Led computer vision projects utilizing neural netwroks for tasks like Real-Time Object Detection, Generative Adversarial Network for Art Generation, Stock Market Prediction using Time Series Analysis, and more.- Collaborated closely with cross-functional teams to ensure smooth integration and functionality.- Contributed to the optimization and improvement of existing algorithms for enhanced performance.