Masters of Entertainment Technology
May 2027, GPA: 3.8
Relevant Coursework: Building Virtual Worlds, Visual Storytelling, Fundamentals of Entertainment Technology, Improvisational Acting
Bachelor of Science, Computer Science and Immersive Media Design
Minor: Sustainibility Studies
May 2025, GPA: 3.8
Relevant Coursework: Algorithms, Advanced Data Structures, Discrete Structures, Computer Systems, Organizational Programming Languages, Object-Oriented Programming, Computer Vision, Artificial Intelligence, Computer and Network Security, Programming Handheld Systems, Data Science, Creative Coding for Digital Media, Computational Media, Digital Media Theory, Calculus II, Linear Algebra, Applied Probability & Statistics
August 2017 - May 2021
Weighted GPA: 4.64
Unweighted GPA: 3.93
Software Engineer Intern
June 2025 - Aug 2025
• Built Unity front-end experiences driven by a producer-facing backend interface, using custom APIs to dynamically load assets and scene data.
• Collaborated in a multi-developer Agile environment using Git version control (Bitbucket) and SourceTree for branch management, code reviews, and CI/CD pipeline integration.
• Integrated Nuitrack/Orbbec gesture tracking APIs with Unity FBX avatars to mirror real-time user movement.
• Developed boundary detection systems that monitor physical positioning and trigger timeout protocols when users step out of the interactive zone utilizing C#.
• Gained full-stack familiarity with the Unity development pipeline, including render pipelines (URP/HDRP), asset management, and deployment workflows.
• Delivered interactive installations (Democracy Disco & Step Into History) now deployed at the National Archives Museum Discovery Center, used by the public as an educational experience.
(Overview,
Visitor Info)
SuperFoldAE: Enhancing Protein Fold Classification with Autoencoders
June 2024 - Dec 2024
• Designed and implemented a supervised autoencoder model with auxiliary reconstruction tasks to enhance model generalization and stability on biological data, achieving an 88.73% accuracy.
• Leveraged a high-performance computing cluster to train deep models on tertiary structure distance matrices.
• Collaborated with research partner and advisor on a novel representation-learning framework integrating fold classification and structural feature extraction.
• Published in Springer CCIS (Vol. 2396) and presented at the Computational Structural Biology Workshop (CSBW 2024).
• Awarded Professional Development Funding by the University of Maryland to present research at CSBW 2024.
ConSOLAE: Learning Smooth and Generalizable Representations for Protein Fold Recognition
Dec 2024 - May 2025
• Developed a contractive supervised autoencoder architecture that learns smooth, noise-invariant latent spaces for fold and family classification.
• Improved out-of-distribution performance on SCOP 2.06 from 22.63% → 54.22% Top-1 accuracy, demonstrating significant advances in generalization.
• Introduced contractive regularization, Smooth L1 reconstruction, and a deeper encoder–decoder structure to stabilize training and capture fine-grained structural features.
• Awarded Best Paper (2nd Place) and accepted for presentation at ACM BCB CSBW Workshop 2025 (Philadelphia, PA).
• Co-authored paper and executed large-scale experiments, model training, and evaluation.
• Empowered students with the knowledge and resources needed to transform creative ideas into tangible and successful projects.
• Demonstrated a commitment to maintaining high standards of professionalism in grading and assessment of works, ensuring students receive constructive feedback for academic and professional growth.
• Created C# scripts to simulate phytoplankton responding to camera input data in Unity Engine.
• Played a key role in brainstorming sessions to create an effective method to represent phytoplankton across various
zoom scales, ensuring visual cohesion and engaging the user.
• Conducted research on how different phytoplankton respond to different light stimulus.
Summer Analyst: Data and Reporting Team
Summer 2023
• Developed software solutions to remodel data, facilitate data visualization, and streamline and automate complex calculations.
• Conducted testing and resolved issues within scripts authored by other team members.
• Engaged in client interactions and communications.
Peer Research Mentor
Aug 2021 - May 2023
• Collaborated with colleagues to develop an image classification model by leveraging a pre-trained convolutional
neural network, AlexNet, in conjunction with a decision tree classifier that integrated geospatial data (longitude and
latitude). This collaborative effort resulted in a successful achievement of an 81.29% accuracy rate.
• Utilized the NASA Globe Clouds database to curate a data set comprising cloud images with essential metadata
attributes including longitude, latitude, and timestamp.
Assistant Teacher
Feb 2021 - Jan 2022
• Cooperated with coworkers to develop lessons, encouraging scholastic development of children aged 8 weeks- 5 years.
• Interacted with parents daily and gave them a verbal report of their child's behavior.
• Learned to adapt to the environment of the classroom, providing interesting and educational activities for the students.
Multiplayer Video Game
Aug 2023 – Dec 2023
• Learned effective human computer interaction when designing a video game for intuitive play.
• Utilized tools such as gestural recognition.
VR Installation
Jan 2023 – May 2023
• Acquired proficiency in designing immersive exhibitions that facilitated collaborative VR experiences.
• Acquired valuable experience in adaptability, problem-solving, and effective communication through collaborative
project management.
• Furthered understanding of the potential and limitations of VR as a storytelling and experiential medium.
Web Developer and Teaching Assistant
Feb 2023 - Current
• Contributes to website development, including using Figma, HTML, and CSS.
• Provided instructions in Python fundamentals to middle and high school girls.
• Assisted students in using motion capture technology.
• Learned how to use Vicon's Shogun Live & Post, calibrating the cameras, placing the markers on the subject,
and integrating the animations into 3D modeling software such as Maya or Unity.
English: Fluent
Gujrati: Fluent
Hindi: Basic Knowledge
Spanish: Basic Knowledge
Software: Unity Engine, Adobe Suite, Microsoft Office Suite, Cinema4D, Maya
Languages: Java, Python, Linux, C, MIPS Assembly, Ocaml, Ruby, Rust, Latex
University of Maryland, College Park, MD
Department of Computer Science
Fall 2024
University of Maryland, College Park, MD
Semester Academic Honors
Fall 2021 - Spring 2024
University of Maryland, College Park, MD
2024, 2023, 2022