Developing a biomimetic robot inspired by cuttlefish behavior, utilizing deep learning techniques such as convolutional neural networks (CNNs) and reinforcement learning. Currently working on the robot's computer vision system, by integrating a dual camera system for depth perception and object recognition.

While working under the guidance of Dr.Lucchessi I developed efficient programs in Python to graph patterns and analyze Bladder Cancer data from a .csv file.- Employed Puppeteer to help collect and load the data onto the .csv file.- Developed the programs using frameworks such as Node.js, SeaBorn, MatplotLib, and SciPy.

- Developed a 4-year schedule planning website with five other developers for UCI students allowing them to choose from over 1000+classes.- Implemented scalable containers that can hold the classes a user selects and implemented a dynamic search box for selecting classes using React.js.- Styled the website using CSS flex-box and CSS transitions to smoothen the user experience, and implemented a responsive web design for access to mobile users.

- Spearheaded the design and development of the schedule and login websites which keep track of 5 of the most popular train schedules in Northern California using Vue.js and used Dynamo DB for the backend.- Grasped the basics of Machine learning with Python and PyTorch using the Intel Neural Compute Stick under the guidance of Dr. Verma.