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 Mathematics by 2026, along with a M.S in Computer Science expected to be completed by 2027. I am passionate about solving problems and learning anything cool.
Skills
Languages
- Java
- Python
- C
- JavaScript
- HTML + CSS
- SQL
Technologies
- Spring
- Django
- React
- OpenSearch
- Solr
- Node.js
- Angular
- PyTorch
- AWS (S3, EC2)
- MongoDB
- Express
- Git
Experience
3M
Software Engineer Intern (Contract via SS Technology)
May 2024 – July 2024
- Crafted an efficient and robust data processing solution leveraging Spring Boot and Spring Batch, handling over 2,000,000 search data points from Salesforce and Sharepoint, with thorough error handling and debugging.
- Deployed and optimized scalable big data pipelines with Apache Airflow and Kafka, enabling real-time streaming data integration with batch processing, leading to a 20% improvement in processing efficiency.
- Utilized Amazon Bedrock for NLP, employing Titan Text Embeddings to enable vectorized search for Retrieval-Augmented Generation, leveraging Swagger for API development, testing, and debugging
- Incorporated kNN vectors for embedding storage with lambda functions on OpenSearch, fine-tuning prompts via Anthropic Claude to generate context-relevant responses improving relevance by up to 50% for consumer search.
SS Technology
Full Stack Engineer Intern
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.
- Configured and managed EC2 instances to ensure scalable and high-availability deployments.
SS Technology
Front End Engineer Intern
May 2023 - August 2023
- Led the transformation of the company website utilizing React, adhering to MVC 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
My Portfolio
- Created this website with a personalized AI chatbot trained on personal data, using advanced features likevector embeddings, RAG, LLMs, prompt engineering, and API integration.
Next.js 14, Langchain, OpenAI API, AstraDB, Tailwind CSS
Mar 2023 – Present
European Option Pricing
- Developed a Monte Carlo simulation-based pricing model for European vanilla options in C++using risk-neutral pricing, Geometric Brownian Motion, and the Box-Muller algorithm, achievingresults closely matching Black-Scholes solutions.
C++
May 2024 – June 2024
Poker Bot
- Used a Monte Carlo counterfactual regret minimization algorithm to approximate a Nash Equillibrium strategy for a 2-player Khun's poker game.
Python
June 2024 – July 2024
EDO.ai
- Developing and researching models to predict diabetes using extensive blood test data and other methods.
PyTorch
August 2024 – Present