Sanjay Karunamoorthy
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About Me
Who am I?
I'm a 3rd year at UVA pursuing a B.S in Computer Science and B.A in Mathematics. I am passionate about solving problems and learning different things.
Skills
Languages
- Java
- Python
- C
- JavaScript
- Node.js
- SQLite
- CSS
- HTML
Technologies
- React
- Next.js
- TensorFlow
- PyTorch
- AWS (S3, EC2)
- Django
- MongoDB
- Express
- Git
Experience
Machine Learning Intern
HBDO, Washington, D.C
February 2024 – May 2024
- Head of the development of a cutting-edge Scalar Vector Machine (SVM) model to classify and detect potential cases of diabetes using extensive blood test data from a cohort of 10,000+ individuals.
Full Stack SWE Intern
SS Technology Consultants, Reston, VA
December 2023 – May 2024
- Tech Lead for a group of interns, leading weekly meetings, ensuring alignment with sprint goals while facilitating seamless communication.
- Designed and implemented a secure back-end Authentication System with the MERN stack (MongoDB, Express, React, NodeJS). Exercising JWT and Bcrypt to increase overall security by over 60% based on pen-testing results.
- Employed RESTful API endpoints for Registration, Login, and Sign-out functionalities, and Postman for development and testing.
- Integrating hosting with Render to augment scalability, emphasizing production and application architecture principles.
Web Development Intern
SS Technology Consultants, Reston, VA
May 2023 - December 2023
- Led the transformation of the company website utilizing React, adhering to MVC architecture and Scrum methodology; collaborated closely with senior team members for mentorship and guidance to ensure successful project completion
- Learned about UI/UX design principles, responsive web design, and performance optimization techniques.
My Projects
TenantTalk
- Built a web app for rating landlords and property management, adhering to Scrum methodology with a team of 5 other developers through sprints and weekly meetings.
Django, PostgreSQL, Heroku, AWS S3
Jan 2024 – Present
Coccidiosis Classification
- Constructed a Convolutional Neural Network (CNN) to detect Coccidiosis signs in chicken images, with the use of over 1000 labeled images.
Python, TensorFlow, Azure
Jan 2024 – March 2024
Film Finder
- Created using Python and Jupyter Notebook with libraries like Numpy, sci-kit-learn, pickle, and requests.
- Integrated TMDB API for data retrieval, including plot summaries, genres, and ratings from over 5000 movies.
Python, TensorFlow
Sept 2023 – Dec 2023
EzCite
- Lead developer of the website, utilizing React and Next.js.
- Leveraged a mix of the Perplexity LLM and Node.js modules such as discord.js and Puppeteer.
- Use of citation-machine to create optimal citations from an input of text.
React, Next.js, Node.js, JavaScript, HTML, CSS
Mar 2024 – Mar 2024
Natural Language Processing Application
- Detects names, cities, states, and countries from given sentences.
- End-to-end development of a robust NER application leveraging the Stanford CoreNLP.
Java, Spring Boot
Nov 2023 – Dec 2023