Luna Systems
Chinmaya Kaundanya is a Doctoral Researcher at Insight SFI Centre for Data Analytics since October 2022, while also serving as a Hardware Controller/Machine Learning Intern at Luna Systems since October 2021. Previous experience includes a Machine Learning Internship at Analysed.in focused on NLP, speech-to-text conversion, and API development, as well as a Data Scientist role at Shyena Tech Yarns Pvt Ltd. Chinmaya also completed a Full Stack Developer Internship at Truso, where responsibilities included creating REST APIs and working with Angular and Django. Educational qualifications include a PhD in Artificial Intelligence from Dublin City University, an MSc in Computing with a focus on Artificial Intelligence from the same institution, and a Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University.
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Luna Systems
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Luna’s AI & Computer Vision solution provides real-time irrefutable confirmation to operators and cities that scooters or e-bikes are being ridden in the right lane, avoiding pedestrians and are parked correctly. This ‘camera as a sensor’ solution also generates valuable and actionable data insights for a variety of smart city applications.