Utkarsh Bhagat
CS + Math student
Summary
Dedicated and eager learner with a passion for community service and solving complex problems. Skilled in programming languages such as Java and Python, and equipped with professional computer abilities. Seeking opportunities to grow and expand my skillset in both technical and non-technical roles.
Education
B.S. Computer Science and B.S. Mathematics
Experience
Fairmont Scottsdale Princess - ASU
- Collaborating with a team of 5 to create a mobile training application for Fairmont Scottsdale Princess, integrating AI for enhanced user experience
- Building wireframes for AI chatbot integration, focusing on user interaction and message flow
- Designing and implementing screens for Achievements and Progress leveraging React Native, ensuring seamless navigation and user-friendly interfaces
- Practicing in Agile practices, utilizing tools Taiga for task management and GitHub for version control, ensuring efficient team collaboration and timely project completion
Emit Lab at ASU
- Collaborated with Ph.D. students on DataStorm, a workflow management software uses data-driven simulations with a focus on volume, velocity, and variety
- Designed an intuitive user interface for configuring diverse workflows, allowing users to create, customize, and connect workflow components efficiently operating Python and Yaml
- Created a dynamic UI with real-time updates, allowing users to edit node properties, add/remove edges, and visualize workflow connections, enhancing overall usability and flexibility operating Python and Cytoscape
Projects
Designing a platform to aggregate job postings and deliver AI-driven job recommendations tailored to user profiles.
- Implemented Firebase for secure user authentication and real-time profile management
- Developed a responsive front-end interface operating React, ensuring seamless user experiences
Devised a Graph Generative Model leveraging GANs to generate a benchmark dataset of logic circuit graphs, is usually unavailable to the EDA researchers due to IP issues and thus model is beneficial for testing performance of various algorithms in the EDA field
- Utilizing Intel Developer cloud and PyTorch framework, project won 1st Prize at the Hacklytics 2024 Intel Challenge at Georgia Tech
Built a program to navigate an artificial agent to shortest path possible on a map filled with obstacles operating C++. The map is designed based on user inputs
- Applied flood-fill algorithm to fill all Moore's neighborhoods in entire map with a number greater by one unit than center cell except cells with obstacles in it
- Utilized the Breadth-First Search approach to find shortest possible path after filling map by choosing a number
Technical Skills
Skills: Programming & Scripting: Java, C++, Python, R, SQL, MATLAB, JavaScript, Libraries and frameworks: Numpy, Pandas, Matplotlib, Keras, Tensorflow, Plotly, Pytorch, Web Development: HTML, CSS, React, Node.js