Experienced in Machine Learning, Full-Stack Development, and Data Science. Proficient in Java, Python, React, and SQL.
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Currently interested in AI safety research with a focus on mechanistic interpretability. Previous experience in Robotics + Machine Learning research at UT Austin.
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Documenting personal and professional growth on social media. Focused on inspiring others and sharing insights in tech and personal development.
Follow on TikTok Follow on InstagramExploring the intersection of AI, robotics, and software engineering through innovative projects and research initiatives.
Contributed to a fashion trends comparison website as part of a 20-person team. Utilized React for frontend, Node.js and SQL for backend. Implemented version control with GitHub for collaborative coding.
View ProjectDeveloped a software using Huffman coding for efficient data encoding and decoding. Implemented a custom priority queue for optimal tree construction and created a user-friendly GUI. Achieved significant file size reductions.
View ProjectImplemented a sophisticated version of Hangman in Java that dynamically adjusts difficulty. Utilized advanced data structures like maps, sets, and lists to manage a large dictionary of words and optimize gameplay based on user input.
View ProjectDeveloped autonomous functionalities for Sawyer robots using Python, ROS, and machine learning techniques. Implemented imitation learning, reinforcement learning, and behavioral cloning to teach a robot to dance, reducing human intervention.
Learn MoreMy journey in software engineering and machine learning, from internships to volunteer projects.
Resolved software bugs, collaborated with cross-functional teams, and optimized SQL databases to enhance system stability and performance.
Learn moreCreated front-end designs using Figma, developed app features with React Native and React.JS, and implemented machine learning models for user matching.
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