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Created page with "### Vishnu Prateek Kakaraparthi **LinkedIn**: [prateekvishnu](https://linkedin.com/in/prateekvishnu) **GitHub**: [prateekvishnu](https://github.com/prateekvishnu) --- #### EDUCATION **Master of Business Administration** *Quantic School of Business and Technology* July 2024 **Ph.D., Computer Science** *Ira A. Fulton Schools of Engineering - Arizona State University* May 2024 | GPA: 4.00 Relevant Coursework: Introduction to Smart Cities, Smart & Resilient..."
 
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### Vishnu Prateek Kakaraparthi
<nowiki>#</nowiki> Vishnu Prateek Kakaraparthi


**LinkedIn**: [prateekvishnu](https://linkedin.com/in/prateekvishnu)
<nowiki>**</nowiki>LinkedIn:** [linkedin.com/in/prateekvishnu](<nowiki>https://www.linkedin.com/in/prateekvishnu</nowiki>)  
**GitHub**: [prateekvishnu](https://github.com/prateekvishnu)
 
---
<nowiki>**</nowiki>GitHub:** [github.com/prateekvishnu](<nowiki>https://github.com/prateekvishnu</nowiki>)  
 
<nowiki>**</nowiki>Email:** [email protected]  
 
<nowiki>**</nowiki>Phone:** (480) 553-4228
 
<nowiki>##</nowiki> Education
 
<nowiki>**</nowiki>Ph.D., Computer Science**  
 
<nowiki>*</nowiki>Arizona State University, Tempe, Arizona*  
 
<nowiki>*</nowiki>Ira A. Fulton Schools of Engineering*  
 
<nowiki>*</nowiki>May 2024*  
 
<nowiki>**</nowiki>NSF-NRT Smart Cities Research Fellow**  
 
<nowiki>**</nowiki>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.
 
<nowiki>**</nowiki>Master of Business Administration**  
 
<nowiki>*</nowiki>Quantic School of Business and Technology*  
 
<nowiki>*</nowiki>July 2024*
 
Simultaneously pursuing an MBA, Vishnu acquired advanced knowledge in business administration, preparing him to bridge the gap between technology and business.
 
<nowiki>**</nowiki>Master of Computer Science**  
 
<nowiki>*</nowiki>Arizona State University, Tempe, Arizona*  
 
<nowiki>*</nowiki>December 2018*  
 
<nowiki>**</nowiki>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.
 
<nowiki>**</nowiki>Bachelor in Computer Science and Engineering**  
 
<nowiki>*</nowiki>SRM University, Kattankulathur, India*  
 
<nowiki>*</nowiki>November 2016*  
 
<nowiki>**</nowiki>GPA: 3.80**
 
His undergraduate studies at SRM University provided him with comprehensive knowledge in computer science and engineering.
 
<nowiki>##</nowiki> Technical Skills and Certifications
 
<nowiki>**</nowiki>Programming:** Python, Java  
 
<nowiki>**</nowiki>Databases:** MySQL, PostgreSQL, MongoDB  
 
<nowiki>**</nowiki>Big Data Tools:** Hadoop MapReduce, Apache Spark, Mahout  
 
<nowiki>**</nowiki>Data Science Tools:** Tensorflow, Keras, Pandas, NumPy, SciPy, Matplotlib, Scikit-learn  
 
<nowiki>**</nowiki>Other Data Tools:** Tableau, Elasticsearch  
 
<nowiki>**</nowiki>Other Tools/Software:** InVision Studio, iMotions, Git  
 
<nowiki>**</nowiki>Cloud Platforms:** Amazon Web Services (AWS), Google Cloud (GCP)  
 
<nowiki>**</nowiki>Certifications:** Deep Learning Specialization (deeplearning.ai, Coursera), Machine Learning (Stanford, Coursera)
 
<nowiki>##</nowiki> Research Experience
 
<nowiki>###</nowiki> Center for Cognitive Ubiquitous Computing (CUbiC) Lab
 
<nowiki>**</nowiki>Doctoral Researcher**  


#### EDUCATION
<nowiki>*</nowiki>July 2020 - Present*  


**Master of Business Administration** 
<nowiki>*</nowiki>Tempe, Arizona*  
*Quantic School of Business and Technology* 
July 2024


**Ph.D., Computer Science** 
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.
*Ira A. Fulton Schools of Engineering - Arizona State University* 
May 2024 | GPA: 4.00 
Relevant Coursework: Introduction to Smart Cities, Smart & Resilient Communities, Smart City Infrastructures and Technology, Introduction to Policy Informatics.  


**Master of Computer Science** 
<nowiki>###</nowiki> innovative Learner and User eXperience (iLUX) Lab
*Ira A. Fulton Schools of Engineering - Arizona State University* 
December 2018 | GPA: 3.80 
Relevant Coursework: Distributed Database Systems, Artificial Intelligence, Statistical Machine Learning, Natural Language Processing, Data Visualization, Data Mining, Knowledge Representation and Reasoning, Perception in Robotics, and Software Verification/Validation/Test.


**Bachelor in Computer Science and Engineering**
<nowiki>**</nowiki>Doctoral Researcher**  
*SRM University* 
November 2016 | GPA: 3.80 


---
<nowiki>*</nowiki>January 2019 - July 2020*  


#### TECHNICAL SKILLS AND CERTIFICATIONS
<nowiki>*</nowiki>Tempe, Arizona*  


**Programming:** Python, Java 
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.
**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) 


---
<nowiki>###</nowiki> Advanced Next Generation Learning Environments (ANGLE) Lab


#### RESEARCH EXPERIENCE
<nowiki>**</nowiki>Doctoral Researcher**  


**Doctoral Researcher** 
<nowiki>*</nowiki>January 2019 - July 2020*  
*Center for Cognitive Ubiquitous Computing (CUbiC) Lab, Arizona State University* 
July 2020 - Present 
- Developing advanced machine learning and image learning algorithms for a novel wrist-worn camera device.
- Co-PI for Global Sport Institute Grant to develop tools for sports enthusiasts and elderly individuals using a novel wrist-worn camera device.
- Co-PI for WearTech to develop pill-taking tools for elderly individuals using a novel wrist-worn camera device.


**Doctoral Researcher** 
<nowiki>*</nowiki>Tempe, Arizona*  
*innovative Learner and User eXperience (iLUX) Lab, Arizona State University*
January 2019 - July 2020 
- Researched the effects of light noise on cognitive activity using eye tracking and brain-computer interfaces.
- Modeled constructs like trust and motivation using EEG and GSR data.
- Data pre-processing, analysis, mentoring, and managing graduate and undergraduate students.


**Doctoral Researcher** 
Vishnu collaborated on user experience projects across various fields, including education, marketing, and space design, considering cognitive and affective components of human experiences.
*Advanced Next Generation Learning Environments (ANGLE) Lab, Arizona State University* 
January 2019 - July 2020 
- Researched user experience in education, marketing, merchandising, product, and space design, considering cognitive and affective components.


**Bachelor's Thesis** 
<nowiki>##</nowiki> Publications and Patents
*SRM University* 
January 2016 - July 2016 
- Comparative study of machine learning algorithms for forecasting closing price indices.


**SRM - PURA (Providing Urban Amenities in Rural Areas)**
- **Patent Pending:** *A Hand-Directed System For Identifying Activities* (U.S. Patent App. #20230324993)
*SRM University*
January 2013 - August 2015 
- Provided rural areas with e-learning, IT empowerment, e-governance, agriculture, healthcare, and women empowerment infrastructure.
- Integrated APIs to front-end and provided back-end design support.


**SRM-SE (SRM Search Engine)**
- **Publications:**
*SRM University*
January 2013 - December 2015 
- Developed a search engine that diversifies and categorizes results for a specified query.


---
  - "Wrist View: Understanding Human Activity Through Hand" (HCII 2023)


#### PUBLICATIONS AND PATENTS
  - "PERACTIV: Personalized Activity Monitoring - Ask My Hands" (HCII 2022)


- *A Hand-Directed System For Identifying Activities*, Patent Pending, U.S. Patent App. #20230324993.
  - "Machine Learning Algorithm Hypothesis on Smart Gyroscopic Tuned Dampers for Earthquake Resistance Building" (International Journal of Multidisciplinary Research and Development, 2015)
- Kakaraparthi, V., et al. (2023). "Wrist View: Understanding Human Activity Through Hand." *HCII 2023*, Lecture Notes in Computer Science, vol 14021, Springer, Cham.
- Kakaraparthi, V., et al. (2022). "PERACTIV: Personalized Activity Monitoring - Ask My Hands." *HCII 2022*, Lecture Notes in Computer Science, vol 13326, Springer, Cham.
- 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.


---
<nowiki>##</nowiki> Work Experience


#### WORK EXPERIENCE
<nowiki>###</nowiki> BrainChip Inc


**Machine Learning Intern**
<nowiki>**</nowiki>Machine Learning Intern**  
*BrainChip Inc | Zalmotek, Mercedes-Benz* 
June 2023 - August 2023 
- Developed and deployed efficient machine learning models.
- Led a multimodal anomaly detection project integrating sensor data.
- Managed end-to-end collaboration with hardware firms.
- Spearheaded development of distracted driving technology for automotive safety.


**Technical Lead** 
<nowiki>*</nowiki>June 2023 - August 2023*  
*Toy Upgrade (ASU Startup)* 
June 2018 - January 2020 
- Oversaw a team developing an educational toy.
- Developed a pronunciation matching system.


**Technical Lead** 
<nowiki>*</nowiki>Laguna Hills, California*  
*Heyludwig - Partners Dog Training (Startup)* 
June 2018 - January 2020 
- Oversaw chatbot development and deployment.


**Research and Development Intern** 
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.
*Ericsson India Pvt Ltd.* 
January 2016 - April 2016 
- Achieved high accuracy in churn prediction and Facebook stream analytics.


---
<nowiki>###</nowiki> Toy Upgrade (ASU Startup)


#### OPEN SOURCE CONTRIBUTIONS
<nowiki>**</nowiki>Technical Lead**  


**Mayhem Heroes** 
<nowiki>*</nowiki>June 2018 - January 2020*  
April 2022 - June 2022 
- Integrated Mayhem, an autonomous AI fuzzy testing tool.


---
<nowiki>*</nowiki>Tempe, Arizona*  


#### AWARDS AND HONORS
Vishnu led a team in developing an educational toy that enhances learning with fun. He developed a pronunciation matching system using various APIs.


- WearTech Grant (2021-2022), Cognitive Ubiquitous Computing (CUbiC) Lab
<nowiki>###</nowiki> Heyludwig - Partners Dog Training (Startup)
- Global Sport Institute Grant (2021), Cognitive Ubiquitous Computing (CUbiC) Lab
- Third prize in All India Software Development SESCON-15 (2015)
- First prize in Denken Fest coding competition (2014)
- Academic Excellence Award by Indus Foundation (2014)
- First prize in CTF at eHack by Infysec (2013)


---
<nowiki>**</nowiki>Technical Lead**  


#### TEACHING EXPERIENCE
<nowiki>*</nowiki>June 2018 - January 2020*  


**Graduate Teaching Assistant** 
<nowiki>*</nowiki>Tempe, Arizona*  
*School of Computing and Augmented Intelligence, Arizona State University*
January 2019 - July 2023 
- Taught over 200 students Human-Computer Interaction (CSE 463).
- Course Instructor for FSE 100: Introduction to Engineering.
- Lab Instructor for CSE 110: Principles of Programming with Java.


**Graduate Services Assistant - Grader/Lab Instructor** 
He oversaw the development and deployment of a chatbot for personalized dog training content, integrating AI to cater to individual dog behaviors.
*School of Computing and Augmented Intelligence, Arizona State University* 
August 2017 - July 2022 
- Assisted in grading and designing course structures for various computer science courses.


---
<nowiki>##</nowiki> Awards and Honors


#### ADMINISTRATIVE EXPERIENCE
- **WearTech Grant:** Co-PI for a $20,000 grant to improve medication adherence among elderly individuals using a wrist-worn camera device.


**Administrative Researcher**
- **Global Sport Institute Grant:** Co-PI for a $20,000 grant to develop tools for tracking physical activities and improving remote training experiences.
*innovative Learner and User eXperience (iLUX) and Advanced Next Generation Learning Environments (ANGLE) Labs* 
January 2019 - July 2020 
- Orchestrated daily operations and research initiatives in Affective Computing and Augmented Reality.


---
- **Third Prize:** All India Software Development SESCON-15 (2015)


#### PROFESSIONAL SERVICES
- **First Prize:** Coding competition at Denken Fest, SRM University (2014)


**PC Member & Reviewer**
- **Academic Excellence Award:** Indus Foundation (2014)
- ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
- ACM Conference on Human Factors in Computing Systems (CHI)
- Pacific Visualization Symposium (PacificVis)
- Computer-Human Interaction of Australia (OzCHI)
- International AAAI Conference on Web and Social Media (ICWSM)
- Conference on Human Robot Interaction (HRI)
- International Conference on Human-Computer Interaction (HCII)


---
- **First Prize:** CTF (Capture flag) at eHack by Infysec (2013)


#### INVITED TALKS
<nowiki>##</nowiki> Teaching Experience


- *FSE 150 Perspectives on Grand Challenges for Engineering - Joy of Living through Technology.*
<nowiki>###</nowiki> Arizona State University
- Invited Speaker at ASU Data/Methods Workshop on Python Programming and Machine Learning.


---
<nowiki>**</nowiki>Graduate Teaching Assistant**  


#### HACKATHON PROJECTS
<nowiki>*</nowiki>January 2019 - July 2023*  


**WizardEyes** 
<nowiki>*</nowiki>Tempe, Arizona*  
September 2021 
- Developed a Smart Cities and Infrastructure Module for occupancy, queue, mask detection, social distance checking, and crowd counting.


---
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.


#### ACADEMIC PROJECTS
<nowiki>##</nowiki> Professional Services


**A Dementia Framework** 
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).
January 2022 - February 2022 
- Developed a Participatory Design Framework for Dementia Technology.


**Relationship Between Technological Tools and those Affected by Dementia** 
<nowiki>##</nowiki> Open Source Contributions
August 2021 - December 2021 
- Studied the relationship between technological tools and those affected by dementia.


**LIDAR Object Detection** 
<nowiki>###</nowiki> Mayhem Heroes
February 2019 - May 2019 
- Developed LIDAR object detection algorithms for environmental perception.


**Vision Based Manipulator Movement with Fetch** 
<nowiki>*</nowiki>April 2022 - June 2022*  
February 2019 - May 2019 
- Implemented visual serving techniques for Fetch robot to locate and reach target objects.


**Semantic Search on Movie Summary** 
Vishnu integrated Mayhem, an AI fuzzy testing tool, into 48 qualified OSS projects and was recognized as a Top 2nd Mayhem Hero.
January 2018 - May 2018 
- Led a team to develop a question-answering system based on movie summaries.


**Spatial Hot Spot Analysis from Geo Spatial-Temporal Data** 
<nowiki>##</nowiki> Academic Projects
August 2017 - November 2017 
- Built a hot spot analysis model analyzing NYC taxi data.


**Classification of Higgs Boson Particle** 
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.
January 2017 - May 2017 
- Built an ensemble of neural networks and random forest models for particle classification.


**Maximize NYC Taxi Driver Revenue Visualization** 
---
January 2017 - May 2017 
- Developed a visualization system for NYC taxi drivers to increase productivity and revenue.


**Knowledge Base Based Question Answering System** 
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.
January 2017 - May 2017
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