About

Akhil Chaudhary is a dedicated researcher in the fields of Deep Learning, NLP, and Computer Vision, with a focus on advancing the field of artificial intelligence by developing novel techniques and algorithms. He completed his Master's in Computer Science from Dalhousie University, where his research focused on explainable zero-shot topic labelling using knowledge graphs, bridging the gap between cutting-edge AI technology and human interpretability. Akhil is passionate about improving AI models' efficacy and comprehensibility in real-world applications, and his areas of expertise include deep learning, natural language processing, computer vision, knowledge graphs, and explainable AI. Currently, Akhil is working with a stealth startup as an NLP Expert, Consultant, and Visiting Researcher, where he is contributing to cutting-edge research and development of Explainable AI models to enhance the interpretability and transparency of NLP models. Leveraging his experience in machine learning, Akhil is developing and implementing novel approaches to explainability in NLP models, employing techniques such as attention mechanisms and Linguistics. He is also researching and developing Explainable AI models that can be used to enhance the interpretation of knowledge graphs, enabling more effective knowledge management and transfer. In addition, Akhil is mentoring junior researchers and developers to support their professional growth and contribute to the team's overall success. Previously, Akhil worked as a Graduate Research Assistant at Dalhousie University, where he conducted cutting-edge research on explainable zero-shot topic labelling using knowledge graphs. He also worked as a Teaching Assistant, where he assisted the course instructor in preparing and delivering engaging course content for computer science subjects. Akhil has a proven track record of collaborating with cross-functional teams in data-driven environments and working on agile-driven projects. He is dedicated to continuous learning, mentoring, and sharing knowledge, which drives his commitment to advance state-of-the-art AI research. Akhil's TechStack includes Research Scientist, AI, NLP, ML, Computer Vision, Deep Learning, Data Scientist, test, and Integration. He has 3.94 years of relevant experience.