Duologue AI

Shay Sharma, founder of Duologue Systems, brings over 7+ years of experience in digital innovation, product development and transformation across multiple Canadian sectors. An engineer by training, Shay specializes in simplifying complex problems to deliver practical, field-ready solutions, with a particular focus on AI applications. Beyond her professional endeavors, Shay is actively involved in community initiatives. She contributes to the Indo Canadian Women's Association (ICWA) as a fundraiser for programs that assist women with domestic violence and serves as the secretary of Technology Alberta's board, playing a vital role in supporting and developing Alberta's tech ecosystem.

Arad is a Machine Learning Researcher and Developer with a Master's in Computing Science from the University of Alberta. His expertise spans Responsible and Explainable AI, focusing on Natural Language Processing and on-device solutions. Arad has hands-on experience developing real-time speech recognition and recommender systems using cutting-edge ML technologies and Large Language Models. His commitment to ethical AI, demonstrated through research on mitigating gender bias and work on explainable AI, aligns with Duologue Systems' goal of creating transparent, trustworthy AI assistants for vulnerable populations. Arad's skills in optimizing AI models and understanding of privacy concerns make him invaluable to our projects.

Tianyuan Lan is a software developer with extensive backend engineering experience and a growing focus on AI integration. With a Bachelor's in Computer Science from the University of Toronto and currently pursuing a Master of Management in Artificial Intelligence at Queen's University, Tianyuan brings a perfect blend of technical expertise and innovative vision. His work implementing scalable backend solutions and developing multimodal AI systems showcases his ability to solve complex technical challenges. At Duologue Systems, Tianyuan leverages his experience with database management, API design, and AI applications to help build robust, accessible technologies that make a meaningful difference in people's lives.

Adithiyan Rajan is an AI technologist with expertise spanning natural language processing, computer vision, and large language model applications. His diverse experience includes developing intelligent systems for Samsung's Bixby assistant and contributing to computer vision research at Collins Aerospace. Adithiyan's work implementing retrieval-augmented generation systems and developing context-aware AI reflects his commitment to creating technology that understands and adapts to human needs. At Duologue Systems, he combines his technical versatility with a passion for impact-driven innovation, helping to create AI solutions that address real-world challenges with empathy and precision.

Niruthiha Selvanayagam is an AI researcher and engineer specializing in natural language processing and large language models. Currently pursuing an MSc in Information Systems with a focus on Data Science at Northeastern University, Niruthiha combines strong theoretical foundations with practical implementation skills. Her research on language semantics and question understanding at the University of Toronto has contributed valuable insights to the field. At Duologue Systems, she applies her expertise in parameter-efficient fine-tuning methods, retrieval-augmented generation systems, and advanced prompting strategies to develop AI solutions that are both technically sophisticated and deeply human-centered.