Vishnu Kakaraparthi

Vishnu Kakaraparthi

Vishnu Kakaraparthi or Vishnu Prateek Kakaraparthi is a dedicated researcher and technical lead with extensive experience in machine learning, smart city technologies, and user experience. His work spans academic research, industry collaborations, and open-source contributions, showcasing his versatility and commitment to advancing technology for societal benefit.

Education

Vishnu Prateek Kakaraparthi completed his Ph.D. in Computer Science at Arizona State University, with a concentration on smart cities, machine learning, and policy informatics, maintaining a perfect GPA of 4.00. During his doctoral studies, he was an NSF-NRT Smart Cities Research Fellow, engaging in advanced coursework on smart city infrastructures and resilient communities. Concurrently, Vishnu pursued a Master of Business Administration from the Quantic School of Business and Technology, equipping himself with the necessary skills to integrate technological innovations with business strategies. Prior to his Ph.D., he earned a Master of Computer Science from Arizona State University in December 2018, where he focused on distributed database systems, artificial intelligence, and machine learning. His academic journey began with a Bachelor’s degree in Computer Science and Engineering from SRM University in India, completed in November 2016, where he laid the foundation for his future research and professional endeavors.

Publications and Patents

Vishnu Prateek Kakaraparthi has made significant contributions to the field of computer science through his research and innovation. His work primarily focuses on machine learning, human-computer interaction, and smart technologies. Vishnu has authored several impactful publications and holds a patent for his innovative system in activity identification. His research has been presented at prestigious conferences and published in renowned journals, showcasing his expertise and dedication to advancing technology. For a comprehensive list of his works, you can visit his Google Scholar profile.

Publications

• Kakaraparthi, V., Goldberg, M., McDaniel, T. (2023). Wrist View: Understanding Human Activity Through Hand. *HCII 2023*. Lecture Notes in Computer Science, vol 14021. Springer, Cham. [https://doi.org/10.1007/978-3-031-35897-5_41]
• Kakaraparthi, V., McDaniel, T., Venkateswara, H., Goldberg, M. (2022). PERACTIV: Personalized Activity Monitoring - Ask My Hands. *HCII 2022*. Lecture Notes in Computer Science, vol 13326. Springer, Cham. [https://doi.org/10.1007/978-3-031-05431-0_18]
• Vishnu Prateek K, "Machine Learning Algorithm Hypothesis on Smart Gyroscopic Tuned Dampers for Earthquake Resistance Building", *International Journal of Multidisciplinary Research and Development*, vol. 2, pp. 705-707, 2015. [https://www.allsubjectjournal.com/assets/archives/2015/vol2issue10/86.pdf]

Patents

• A Hand-Directed System For Identifying Activities, Patent Pending, Troy McDaniel, Mozest Goldberg, Hemanth Kumar Demakethepalli Venkateswara, Sethuraman Panchanathan, Vishnu Prateek Kakaraparthi. U.S. patent App. #20230324993.

Work Experience

Professional Experience

Gen AI Engineering Intern, Boomi

May 2024 - Present (Remote, United States)

In his current role as a Gen AI Engineering Intern at Boomi, Vishnu is focused on researching and implementing AI algorithms that enhance the company’s integration and automation solutions. He collaborates with cross-functional teams to gather requirements and develop innovative AI-driven features. Notably, he supports data collection, preprocessing, and analysis for various AI projects while designing and conducting experiments to evaluate model performance. His contributions extend to deploying these AI-driven features into production, showcasing his ability to integrate theoretical knowledge with practical applications.

Machine Learning Intern, BrainChip Inc.

June 2023 - August 2023 (Laguna Hills, California)

During his internship at BrainChip Inc., Vishnu developed and deployed efficient machine learning models that achieved remarkable enhancements in processing speed and energy efficiency. He successfully led a multimodal anomaly detection project that integrated sensor data—such as vibration, pressure, and temperature—to improve detection accuracy across diverse applications. His collaboration with hardware firms, particularly Zalmotek, was crucial in demonstrating the capabilities of BrainChip's Neuromorphic platform. Additionally, he spearheaded the development of distracted driving technology, aligning with potential projects in partnership with Mercedes-Benz.

Technical Lead, Toy Upgrade

June 2018 - January 2020 (Tempe, Arizona)

As a Technical Lead at Toy Upgrade, an ASU startup, Vishnu oversaw a development team of five in creating an educational toy designed to enable learning through play. He successfully developed a pronunciation matching system that utilized various APIs, such as Soap Box Labs, to verify and enhance the correctness of spoken words. His leadership not only drove the project to completion but also fostered a collaborative environment for team members.

Technical Lead, Heyludwig

June 2018 - January 2020 (Tempe, Arizona)

In his role as Technical Lead for Heyludwig, a dog training startup, Vishnu was instrumental in overseeing the development and deployment of an AI-powered chatbot. Built using Dialogflow and integrated with Facebook Messenger, this chatbot generated personalized dog training content based on user interactions. His contributions were pivotal in delivering a tool that enhances the training experience for dog owners.

Academic Experience

Doctoral Researcher, Center for Cognitive Ubiquitous Computing (CUbiC) Lab

July 2020 - Present (Tempe, Arizona)

As a Doctoral Researcher at the CUbiC Lab, Vishnu has focused on developing advanced machine learning algorithms for innovative wearable technology. His significant achievements include collaborating on projects that enhance physical activity tracking for elderly individuals and improve medication adherence through innovative solutions using novel wrist-worn camera devices.

Doctoral Researcher, innovative Learner and User eXperience (iLUX) Lab

January 2019 - July 2020 (Tempe, Arizona)

In the iLUX Lab, Vishnu researched the effects of light noise on cognitive activity, utilizing biometric data such as pupil dilation through eye tracking and brain-computer interfaces. His work contributed to the development of innovative instruments combining traditional and biometric sensors, allowing for a holistic understanding of user experiences.

Doctoral Researcher, Advanced Next Generation Learning Environments (ANGLE) Lab

January 2019 - July 2020 (Tempe, Arizona)

At the ANGLE Lab, Vishnu collaborated on user experience research for major corporations, including FedEx. His work involved improving user experiences in educational settings and product design, where he explored diverse aspects of cognitive and affective components of human interaction.

Graduate Teaching Assistant, Arizona State University

January 2019 - July 2023 (Tempe, Arizona)

As a Graduate Teaching Assistant at ASU, Vishnu taught and mentored over 1,400 students in Human-Computer Interaction courses, emphasizing usability principles and prototyping. He contributed to course structure design, developed assessments, and provided valuable mentorship to foster students’ interests in computer science and engineering.