Hi, I’m Surbhi, a Dual Master’s student in Computer Science and Journalism at Columbia University, specializing in Machine Learning. My research interests focus on natural language understanding and generation, and their applications in computational social science. I am also passionate about high-performance machine learning, optimizing large-scale models for practical deployment, and building responsible AI systems that enhance information accessibility, reliability, and informed decision-making.
Experience
Software Engineer Intern - Quansight
- Modified existing implementation and the core business logic of condacolab to correct errors, adapt it to new environments and upgrade interfaces and improved performance.
- Developed scripts to speed up the process of completing various tasks and added features to improve usage of condacolab. Read full project work here.
Outreachy intern with conda-forge
- Improved the documentation of conda-forge ecosystem and closed quite important tickets enhancing the documentation for maintainers and users contributing or using packages to/from conda-forge.
- Added a section explaining all the security aspects related to conda-forge builds for better navigation in the documentation. Read Read full project wrap up blog.
MLH Fellow at GitLab
Project Associate - Pravartak Technologies Labs, IIT Madras
- Designed and developed a full-stack web application that securely delivers interactive Jupyter Notebook environments using Voila . Implemented user authentication and role-based access control, ensuring that only authorized users could access notebooks upon admin approval. Optimized backend performance for seamless execution of computational notebooks and integrated CI/CD pipelines for automated deployment on the server, enhancing scalability and reliability.