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Bachelor's in Computer Science
Atlanta, GA
Courses: Data Structures \& Algos, Linear Algebra, Design \& Analysis of Algorithms, Computer Organiz \& Program, Objects $8 \mathcal{G}$ Design Certificates/Achievements: Deep Learning Specialization by DeepLearning.AI
Software Eng. Virtual Experience by J.P. Morgan (Forage)
Work Experience
Faculty Honors Award Spring 2022, Dean's List Fall 2022 \& Spring 2023
Accelerating Materials Discovery with AI
Undergraduate Researcher
August 2023 - Present
Atlanta, GA
- Applied graph neural networks to accelerate the discovery of next-generation catalysts, batteries, and solar cells, reducing time-to-discovery by $40 \%$ compared to traditional methods.
- Developed innovative data-driven algorithms for atomic-level inverse design with a goal of achieving chemical accuracy, resulting in a $20 \%$ improvement in model reliability through the incorporation of domain-specific physical constraints.
- Engineered a scalable testing platform integrated with big data analytics and data visualization capabilities, setting new benchmarks for materials discovery research.
Big Data Big Impact @ Georgia Tech
August 2022 - May 2023
Frontend Developer
Atlanta, GA
- Developed the front end of a web application to visualize data collected from neural network-based damage cost estimation of US hurricanes
- Created UI from scratch utilizing Figma and React, integrating Google API for a geo-mapping service to plot paths \& track the progress of hurricane patterns
- Developed interactive data visualizations using React and D3.js to display complex data in an easily understandable format, resulting in a boost in user engagement with the application
- Worked closely with the team to integrate the neural network model for estimating damage costs into the app, resulting in a $40 \%$ decrease in damage cost estimation time.
Georgia Tech Off-Road - Baja SAE
Jan 2022 - May 2022
Data Acquisition Engineer
Atlanta, GA
- Designed \& maintained data acquisition subsystem for efficient collection, storage \& manipulation of test data, critical to team's R\&D efforts and successfully resulting in yearly design improvements of up to $5 \%$
- Developed real-time system for the integration of collected and processed data yielding a $20 \%$ improvement in testing cycle times, delivering reliable insights into the car's design
- Enhanced continuous quality assurance framework that enabled daily validation/testing process \& improved accuracy by $70 \%$, paving the way for timely product releases
TransData
Web Developer
Aug 2021 - Dec 2021
- Created four engaging web applications for businesses, increasing user engagement and efficiency by $20 \%$
- Designed and developed UI/UX features with client feedback in mind, resulting in a $75 \%$ rise in customer ratings
- Utilized innovative strategies to increase application scalability and guarantee data security through Penetration Testing
Project Experience
Full Stack Threads App | Next.js, Clerk, Tailwind CSS, MongoDB, Shadcn, Figma, Zod
Jun 2023 - Present
- Designed an intuitive UI using Figma, Next.js, and Tailwind CSS, enhanced with custom shades via Shadcn.
- Engineered a secure user authentication and profile management system leveraging Clerk for robust backend functionality.
- Utilized MongoDB for data storage, accommodating complex schemas and efficient data population.
- Integrated UploadThing for file management and employed Zod for robust data validation, enhancing overall user experience.
Face Recognition System | TensorFlow
May 2023 - Jun 2023
- Implemented a high-performance ConvNet-based face verification and recognition system, utilizing FaceNet's state-of-the-art one-shot learning and triplet loss algorithms to compute 128-dimensional face encodings.
- Tuned model parameters to enhance prediction accuracy, achieving $98 \%$ precision and recall.
- Developed a verification mechanism that leverages L2 distance calculations to determine identity authenticity, ensuring secure access for verified individuals with an impressive accuracy threshold of 0.7.
- Applied Neural Style Transfer techniques to augment the capabilities of the face recognition system, providing not only identity verification but also real-time artistic rendering of detected faces.
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Leadership Experience
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Effective Altruism at Georgia Tech
Organizer
August 2023 - Present
Atlanta, GA
- Completed AI Safety Fundamentals Fellowship, culminating in a capstone, new approaches to Myopic Decision Theory
- Plan to develop updates to the AI Safety Fundamentals Fellowship, along with developing new materials to raise interest for it at Georgia Tech |