About me
Professional Interests
I graduated from the University of Maryland in 2024 with a Bachelor of Science in Computer Science, Mathematics, and Mechanical Engineering.
I have previous work experience at Textron Systems as a summer software engineering intern, primarily creating an application to append to my team's internal tools for full-motion video and imagery analysis and exploitation, while developing a localized deployment feature for fielded products for debugging and demonstration purposes. My work involved full-stack development, Postman, AWS Lambda, Docker, and a bit of cloud implementation.
I am currently interested in backend or full stack development, with a stronger preference for the former. I don't have much experience in machine learning, cloud computing, or data science, but I would love to learn about and gain hands-on experience in these fields! I'm also currently in the process of acquiring an AWS Cloud Practitioner certification! I am a responsible, persistent, and efficient worker, as well as a someone is actively looking for new things to learn.
Personal Interests
In my free time, I enjoy exploring artistic and creative outlets, or simply admiring the genius of other creatives, be it through music, photography, or art. I hope to find a happy medium between the academic and creative sides of my mind, and create work that exhibits this. I also love listening to music, so Spotify analytics have become of huge interest to me. I am currently in the process of creating a Spotify application that analyzes a user's listening history!
Skills and Certifications
Programming Skills: Java, Python, MATLAB, C++, C#, JavaScript, HTML5/CSS3, SQL, Kotlin, XML
Technologies: Postman, Docker, Git/GitHub, MongoDB, Node.js, Google Firebase, RESTful API
Certifications: AWS Certified Cloud Practitioner (In Progress), Microsoft Certified Azure Fundamentals (In Progress)
What I've been up to
Columbia University: Mailman School of Public Health
AI/ML Research Associate
December 2023 – Present
- Leveraged SQL and Microsoft Excel to cleaned and pre-processed diverse medical data provided by Columbia University and the National Institutions of Health to discover the effective disease transmission rate
- Implementing Finite Expression Methods using PyTorch on using underlying concepts such as combinatorial optimization and reinforcement learning to achieve a theoretical accuracy of 90% on the effective disease transmission rate predictions for 4 different epidemic diseases
UMD Computational Research Lab
Undergraduate Resaerch Assistant
June 2023 – September 2023
- Automated simulation parameter entries, test analyses, and data exportations using Python and Bash commands in a Linux environment to reduce processing times by 56% and streamline manual components%
- Coordinated with other engineers from the Department of Defense to analyze parameter sensitivities of exothermic compositions using Python, R, and MongoDB to develop thermodynamic models
Textron Systems: Geospatial Intelligence
Software Engineering Intern
May 2022 - Aug. 2022
- Remodeled open-source metadata streaming application by parsing and dockerizing configuration files using Docker, NestJS, Postman, and MongoDB to dynamically update tables with stream requests, query statuses, and query results
- Enhanced intuit of user interface using TypeScript by identifying and displaying available stream endpoints to shortcut end processes for users
- Implemented self-service portals using TypeScript, CSS, and HTML to monitor stream query requests and metrics of local machines, and streamlined DevOps and core engineering involvement
- Created and tested RESTful API using Swagger framework and articulately documented capabilities of live metadata streaming application
- Worked in a Scrum environment using Microsoft Azure DevOps for sprint planning and Git for code reviews
UMD Department of Computer Science
Undergraduate Teaching Assistant
Jan. 2021 - May 2022
- Facilitated students’ fundamental knowledge of object-oriented programming and data structures in Java
- Enhanced students’ problem-solving skills with heuristic techniques during office hours and discussions
Textron Systems: Electronic Systems
Systems Engineering Intern
May 2021 - Aug. 2021
- Debugged and refactored internal calibration application using C# for instrument and product frequency output calibrations
- Coordinated directly with clients and other engineers to support the development of system-level requirements such as system architecture models, customer requirements, and acceptance test procedures
- CSupported impact analyses for proposed requirement changes by conducting data analyses on system frequency outputs using Python scripts
UMD Quantitative Control and Optimization Lab
Undergraduate Resaerch Assistant
Jan. 2021 - May 2021
- Developed a responsive and dynamic webpage using JavaScript to enable easy access to laboratory publication library, communication portal and research overview
- Analyzed parameter sensitivities of multi-dimensional physics models using Python scripts that identified optimal underlying model parameters
Here are some of my projects
Memory Mosaic (In Progress)
Developing a photo archiving application in which users can store, retrieve, update, and delete memories via a cloud-based database
Technologies: PostgreSQL, Cloudinary, JavaScript
Currency Flow
• Created a webpage application where users can conveniently conduct international currency conversions while monitoring user demographics
Technologies: Fixer API, MongoDB, HTML, CSS, JavaScript
View CodeCapital Wise
Created a webpage that implements non-linear regression models to calculate projected capital gains from personal investments
Technologies: HTML, CSS, AngularJS, PHP, SQL
Stock Predictor
• Used Recurrent Neural Network (RNN) models to predict the stock return of individual stocks amid visualizing the projected value of the given stock
Technologies: YFinance API, Tensorflow, Python, NumPy, Pandas, Matplotlib
Coronavirus Purity Test
The Coronavirus Purity Test is inspired by the Rice Purity Test (an activity list questionnaire that gives you a score out of 100, deducting one point per activity that you have done) but with a twist. Given the 2020 COVID-19 pandemic, I decided to create a fun way for people to gauge how well they've been staying safe throughout quarantine.
Technologies: HTML, CSS, Javascript
Here's some more stuff