I'm a recently graduated Computer Science Master's Student from UCR and also Founding Engineer of a YC Backed startup AlgoUniversity!
🎓 Pursued Master's in Computer Science with a focus on Parallel Algorithms, Advanced Algorithms, Spatial Computing and Data Mining at UC Riverside.
💻 I previously developed the very 1st feature of AlgoUniversity an Online Judge to remotely compile user submitted code from scratch and the backend, cloud systems for AI co-pilot "Code Genie".
📚 Enhancing my knowledge in Data Structures and Algorithms for future opportunities.
🤝 Looking to collaborate on innovative tech projects and keen to learn new technologies.
🎯 2024 Goals: Contribute to more open-source projects and master DSA.
Decoding Market Movements is a big data project using Apache Spark and NLP to analyze financial news and stock trends. It employs LLMs for sentiment analysis, TF-IDF for keyword extraction, and Pearson correlation to assess market impact. Findings show sentiment influences stocks but is one of many factors.
Using Azure Data Factory and Azure Databricks to process and visualize 3D road data on Google Earth.
Reduced startup time on GCP through image caching and Kubernetes optimizations.
Developed a function in C++ using ParlayLib to construct KNN graphs for real-world datasets with millions of points, producing binary-formatted outputs for clustering and geospatial visualization.
Developed a social media networking site for developers using MERN stack to connect and share ideas.
In this project, we were tasked with implementing feature selection algorithms, specifically Forward Selection and Backward Elimination, to analyze a given dataset and identify the most significant features that contribute to accurate classification.
