• Worked on Intuit Assist (IA) LLM feature, using TypeScript and GraphQL for backend with Jest testing• Developed front-end sections of IA page using in-house tools, learning UI design principles• Learned core programming and AI concepts such as prompt engineering, server communication such as RPC calls, code coverage, and so on

• Developing state-of-the-art AI models for computer vision problems, focusing on semantic segmentation tasks.• Proficient in Python and utilizing frameworks such as PyTorch and Tensorflow for model development and training.• Acquired experience and expertise in computer vision models and techniques, including transformers, applying them to real world problems in the lab’s research projects.• Utilizing Huggingface and Wandb for experimentation and model tracking, enhancing research efficiency and reproducibility.

- Analyzed company data using Python data manipulation libraries- Made visualizations and interpretations of data- Presented findings to company

- Created algorithm to read car license plates using AI.- Worked with front-end devs to implement automatic check-in app using algorithm.