HIMAVANTH KUMAR PERNI

Email: ad4d6k@r.postjobfree.com LinkedIn Github Portfolio Website Address: Fairfax, VA. Phone:571-***-****

EDUCATION

George Mason University, Fairfax, VA. Dec 2024(Expected)

Master of Science: Computer Science CGPA:3.83/4

Relevant Coursework: UI/UX Design and Development, Software testing

Andhra Loyola Institute of Engineering and Technology, Vijayawada, India. 2018-2022

Bachelor of Technology: Computer Science

Relevant Coursework: Software Project Management, Software Engineering, Software Testing Methodologies.

SKILLS

Software: (proficient)C, C++, R, Python, Django, Flask, JAVA, HTML, CSS, JS(React), Unix, PostgreSQL, MongoDB (familiar) Git, Kotlin, PHP, GraphQL, Node, Typescript, Ruby on Rails.

Tools: VS code, Bitbucket, PyCharm, IntelliJ, Eclipse, Microsoft office suite, Docker, Data Studio, Google Co-lab, AWS, S3,.

WORK EXPERIENCE

Graduate Teaching Assistant George Mason University, Fairfax, VA JAN 2024-Present

Assisted in the development of course materials for 'Artificial Intelligence Design and Deployment Risks,' focusing on ethics and risk management, and provided constructive feedback on assignments and exams.

Created and conducted practical lab exercises for 'Linux Kernel Internals,' leading weekly sessions on kernel modules, system calls, memory management, and process scheduling. Also held regular office hours to provide additional student support and guidance.

Graduate Research Assistant George Mason University, Fairfax, VA AUG 2023-JAN 2024

Collaborated with a professorial team to design and prototype a haptic device, integrating C++ and Python for software and hardware interfacing, resulting in a 20% improvement in user response time in tests.

Spearheaded research and implementation using Python, contributing to the development and optimization of device functionality, which successfully received vibration alerts with 95% accuracy.

Software Development Intern Octazen Software Solutions, Remote AUG 2020-OCT 2020

Designed and developed a banking application prototype, enhancing UI/UX by 30% through implementing intuitive interface solutions with Python and JS(React). Collaborated with the software development team to optimize the codebase, successfully decreasing bug occurrences by identifying and reduce 25% of bugs through rigorous Python code validation and debugging.

ACADEMIC PROJECTS

Hackathon Project Development OCT 2023

Participated in a hackathon, brainstorming, designing, and developing an innovative platform that processes video inputs to generate textual summaries using Large Language Models.

Built a user-friendly website using Flask, and Python, which allowed users to upload videos. The platform was capable of transcribing and summarizing video content with a 90% accuracy rate, facilitating quick content review and indexing.

Personal Fitness Tracker SEP 2023-JAN2024

Designed and integrated interactive dashboards within the fitness tracker app, enhancing user experience through data visualization.

Achieved over 500 active users, demonstrating the application's effectiveness in engaging users and promoting healthier lifestyle choices.

Online Shopping App using React JS and Firebase JAN 2021-MAR 2021

Implemented key features such as product listings, shopping cart functionality, and user authentication.

Showcased adeptness in a wide array of web development technologies, Leveraged React JS and Firebase to implement vital e-commerce features, propelling user engagement by 25% with enhanced shopping cart functionality and user authentication.

Hospital Billing Management System JUN 2020-SEPT 2020

Led the design and implementation of a Hospital Billing Management System using C++ and web technologies, streamlining billing for a local hospital, and reducing bill generation time by 50%.

The system, integrated with PostgreSQL, automated charge calculations, enhanced data security, and improved billing efficiency by 30%, and had a positive impact on both staff satisfaction and patient experience.

Publication

Collective Activity Recognition Using Generative Adversarial Network

Proposed a fast weakly supervised deep learning algorithm, focusing on recognizing activities performed by groups of people, and addresses the challenge of complex interactions among different people, aiming for real-time applications with high performance. ( https://parishodhpu.com/index.php/volume-xi-issue-vii-july-2022-2/)

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