Rohan Akut

Experienced Machine Learning Engineer and Computer Vision Researcher with a proven track record of developing innovative solutions and driving impactful results. I possess a strong background in image processing, deep learning, and AI algorithm development. My expertise spans across diverse domains, including dental imaging, healthcare, and accessibility technologies.

After working with Fortune 500 company, a startup, and in academia, I have realized that there exists a huge gap in applying AI to business solutions. My motivation is to bridge this gap by creating AI-powered solutions that could improve business processes and enhance user experiences.

As a Machine Learning Engineer at iCAD Dental, I developed an image processing and data analysis pipeline to improve the accuracy of a deep learning classifier by 15%, resulting in a final accuracy rate of 93% on a dataset of 2000 images. I also led a project that utilized autoencoders, k-means clustering, and computational imaging to achieve 20% higher accuracy and 99% faster results compared to traditional methods. Additionally, I optimized dentist workflow by implementing an ML-based solution that reduced wait times by 99% and significantly improved customer satisfaction ratings. 

As a Computer Vision Researcher at McGill University, I developed a state-of-the-art Heterogeneous Intelligent System, conducted comprehensive analyses of millions of images, engineered and optimized APIs for seamless integration of ML models, and achieved impressive accuracy rates in text summarization tasks. 

In my role as a Business Technology Analyst at Deloitte, I debugged and developed features for healthcare systems, optimized workflows, and successfully followed Agile methodologies to meet project targets.

I am currently pursuing a Master of Science in Electrical and Computer Engineering (Thesis) at McGill University, with an expected completion date of September 2023. I have worked under the guidance of Prof. Jeremy Cooperstock a leading researcher in the field of HCI and Machine Learning. Throughout my education, I have undertaken coursework that is highly relevant to my field, including Statistical Computer Vision, Human-Computer Interaction, Applications of Machine Learning in the Real World, and Reinforcement Learning.