Abhinav Gorantla
I am a computer science graduate student at Arizona State University. I am interested in the fields of backend development, DevOps, artificial intelligence, and cloud computing, and I am striving to enhance my expertise in these fields. Currently, I am actively engaged in research in the fields of time series analysis and image processing. My other interests include backend development and DevOps. AiOps is something I want to work on in the future.
Projects
- Time Series forecasting using Enhanced GAFs
- Applied Gramian Angular Fields to encode time series data, integrating it with a CNN for precise predictions on stock trends—assessing whether they would follow an upward or downward trajectory.
- agCLI
- Used Node.js, Commander.js, octokit.js, the GitHub API to build a command line tool which can update all the npm packages in a project and make a pull request to the GitHub repository with the version updates.
- Spell Checker using TRIE Trees
- Implemented BK Trees, TRIE Trees, and Hash Tables data structures in C++ and provided a comparative study on their performance with respect to auto suggestions and correction of words. Developed as a command-line tool.
- The Weekly Edge
- Built a back-end REST API with CRUD operations to post, edit, and view articles written by members at THEPC - VIT. Maintained this MERN stack project for 1.5 years, introducing features like favoriting articles and a security question feature.
- Automatic Essay Grader using NLP
- Built an NLP pipeline to extract various features from an essay like cosine similarity, Latent Semantic Analysis, TF IDF scores, and Orthography (spell checking). Used different Machine Learning Algorithms for scoring essays, with a comparative analysis.
- Smart Parking Architecture using IoT
- IoT project during junior year at VIT. Enabled parking spaces to run automatically without human interference. Proposed architecture and details can be found here.