Vishnu Kakaraparthi
# Vishnu Prateek Kakaraparthi
**LinkedIn:** [linkedin.com/in/prateekvishnu](https://www.linkedin.com/in/prateekvishnu)
**GitHub:** [github.com/prateekvishnu](https://github.com/prateekvishnu)
**Email:** [email protected]
**Phone:** (480) 553-4228
## Education
**Ph.D., Computer Science**
*Arizona State University, Tempe, Arizona*
*Ira A. Fulton Schools of Engineering*
*May 2024*
**NSF-NRT Smart Cities Research Fellow**
**GPA: 4.00**
Vishnu completed his Ph.D. in Computer Science at Arizona State University, with a focus on smart cities, machine learning, and policy informatics. His coursework included classes on smart city infrastructures, resilient communities, and policy informatics.
**Master of Business Administration**
*Quantic School of Business and Technology*
*July 2024*
Simultaneously pursuing an MBA, Vishnu acquired advanced knowledge in business administration, preparing him to bridge the gap between technology and business.
**Master of Computer Science**
*Arizona State University, Tempe, Arizona*
*December 2018*
**GPA: 3.80**
Vishnu's master's program included advanced coursework in distributed database systems, artificial intelligence, and machine learning, laying a strong foundation for his research and professional career.
**Bachelor in Computer Science and Engineering**
*SRM University, Kattankulathur, India*
*November 2016*
**GPA: 3.80**
His undergraduate studies at SRM University provided him with comprehensive knowledge in computer science and engineering.
## Technical Skills and Certifications
**Programming:** Python, Java
**Databases:** MySQL, PostgreSQL, MongoDB
**Big Data Tools:** Hadoop MapReduce, Apache Spark, Mahout
**Data Science Tools:** Tensorflow, Keras, Pandas, NumPy, SciPy, Matplotlib, Scikit-learn
**Other Data Tools:** Tableau, Elasticsearch
**Other Tools/Software:** InVision Studio, iMotions, Git
**Cloud Platforms:** Amazon Web Services (AWS), Google Cloud (GCP)
**Certifications:** Deep Learning Specialization (deeplearning.ai, Coursera), Machine Learning (Stanford, Coursera)
## Research Experience
### Center for Cognitive Ubiquitous Computing (CUbiC) Lab
**Doctoral Researcher**
*July 2020 - Present*
*Tempe, Arizona*
Vishnu has been developing advanced machine learning algorithms for a novel wrist-worn camera device. His work includes collaborating on projects funded by the Global Sport Institute and WearTech to create valuable tools for sports enthusiasts and elderly individuals living alone.
### innovative Learner and User eXperience (iLUX) Lab
**Doctoral Researcher**
*January 2019 - July 2020*
*Tempe, Arizona*
His research at iLUX Lab involved studying the effects of light noise on cognitive activity using biometric sensors. He also explored new constructs like trust and motivation using EEG and GSR data.
### Advanced Next Generation Learning Environments (ANGLE) Lab
**Doctoral Researcher**
*January 2019 - July 2020*
*Tempe, Arizona*
Vishnu collaborated on user experience projects across various fields, including education, marketing, and space design, considering cognitive and affective components of human experiences.
## Publications and Patents
- **Patent Pending:** *A Hand-Directed System For Identifying Activities* (U.S. Patent App. #20230324993)
- **Publications:**
- "Wrist View: Understanding Human Activity Through Hand" (HCII 2023)
- "PERACTIV: Personalized Activity Monitoring - Ask My Hands" (HCII 2022)
- "Machine Learning Algorithm Hypothesis on Smart Gyroscopic Tuned Dampers for Earthquake Resistance Building" (International Journal of Multidisciplinary Research and Development, 2015)
## Work Experience
### BrainChip Inc
**Machine Learning Intern**
*June 2023 - August 2023*
*Laguna Hills, California*
Vishnu developed and deployed efficient machine learning models, achieving significant improvements in size, energy efficiency, and processing speed. He led a multimodal anomaly detection project and collaborated with hardware firms to showcase BrainChip's Neuromorphic platform.
### Toy Upgrade (ASU Startup)
**Technical Lead**
*June 2018 - January 2020*
*Tempe, Arizona*
Vishnu led a team in developing an educational toy that enhances learning with fun. He developed a pronunciation matching system using various APIs.
### Heyludwig - Partners Dog Training (Startup)
**Technical Lead**
*June 2018 - January 2020*
*Tempe, Arizona*
He oversaw the development and deployment of a chatbot for personalized dog training content, integrating AI to cater to individual dog behaviors.
## Awards and Honors
- **WearTech Grant:** Co-PI for a $20,000 grant to improve medication adherence among elderly individuals using a wrist-worn camera device.
- **Global Sport Institute Grant:** Co-PI for a $20,000 grant to develop tools for tracking physical activities and improving remote training experiences.
- **Third Prize:** All India Software Development SESCON-15 (2015)
- **First Prize:** Coding competition at Denken Fest, SRM University (2014)
- **Academic Excellence Award:** Indus Foundation (2014)
- **First Prize:** CTF (Capture flag) at eHack by Infysec (2013)
## Teaching Experience
### Arizona State University
**Graduate Teaching Assistant**
*January 2019 - July 2023*
*Tempe, Arizona*
Vishnu taught over 200 students in Human-Computer Interaction, assisted in course design and grading, and served as a lab instructor for programming and engineering courses.
## Professional Services
Vishnu has served as a PC Member and Reviewer for several conferences and journals, including ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), ACM Conference on Human Factors in Computing Systems (CHI), and International Conference on Human-Computer Interaction (HCII).
## Open Source Contributions
### Mayhem Heroes
*April 2022 - June 2022*
Vishnu integrated Mayhem, an AI fuzzy testing tool, into 48 qualified OSS projects and was recognized as a Top 2nd Mayhem Hero.
## Academic Projects
Vishnu has worked on numerous academic projects, including LIDAR object detection, vision-based manipulator movement with Fetch robots, semantic search on movie summaries, and spatial hotspot analysis from geospatial-temporal data.
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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.