QpiAI
Samuel Sunadh is an accomplished AI professional currently working at QpiAI since October 2022, engaging in deep learning and object detection projects while overseeing the complete project lifecycle. Prior experience includes a role as a Junior Data Analyst at ANZ, where tasks involved exploratory data analysis and predictive analytics, and as a Data Science Fellow, focusing on data visualization and segmentation. Additional experience encompasses the role of Technical Assistant at QANDA (Mathpresso) and a Technical Engineer position at Visakhapatnam Steel Plant. Samuel holds a Bachelor of Technology in Chemical Engineering from the National Institute of Technology Srinagar and a Masters PG Diploma in Data Science and Machine Learning from upGrad, along with ongoing training at Skill-Lync.
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QpiAI
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Progress of Human Kind depends on the discovery and deployment of optimal AI systems at the speed of light. These are systems that convert data into intelligence and generates more intelligent information than ever before. At QpiAI we are leading efforts in discovering the most optimal AI systems in Life sciences, Healthcare, Finance , Industrial , space technologies and deploying them at the speed of light. Today only a fraction of enterprise data is transformed into intelligence. With QpiAI we enable not only the highest data to insight efficiency but also generate new usable data. This is possible because of QpiAI's innovation in simplifying AI and Quantum.