I am a second-year master's student at Stanford University majoring in computer science. I expect to graduate in June 2023. My areas of interest are HCI, Human-Centered AI, Machine Learning.
Specialization: Human-Computer Interaction
Honors Thesis: Designing Interactive Murals
☐ Utilizing the Ackermann steering model, devised a projected motion path estimation algorithm given current steering data in order to enable teleoperation of automated vehicles.
☐ Designed and developed a user interface for the teleoperation web application that improves user experience metrics such as usability, learnability, and efficiency of use.
☐ Implemented a path overlay drawing algorithm utilizing camera transformation of 3D world coordinates.
☐ Developed API endpoints and a tool to visualize simulation data in real-time.
☐Implementing support for multiple themes and storylines in an Android narrative-based fitness app.
☐Integrating Google Fit API and designing a Firebase database for the app to facilitate seamless collection of wellness and health data, and efficient data visualization.
☐Upgrading the current codebase of the app written in Java by adding new features to prepare the app for a study to understand the persuasive power of data-driven narrative for promoting more active lifestyles.
☐ Designed a hardware-software integrated system for a novel large scale outdoor interactive mural.
☐ Built embedded systems utilizing Raspberry Pi, microcontrollers and sensors to respond to human interactions, record weather data, and wirelessly communicate with the server and the database.
☐ Developed a database and a fully-fledged web interface to remotely observe, monitor, and control the mural.
☐ Leveraged skills in Node.js, p5.js, MySQL, Python, C, HTML, CSS, Raspberry Pi, Microcontrollers, HTTP, I2C
☐ Extend DIG – a tool for generating linear and nonlinear numerical invariants using symbolic states.
☐ Devised a novel heuristic approach to find the maximum degree of invariants in the form of nonlinear equality involving non-factorable polynomials with the help of numerical analysis of the concrete states.
Designed an algorithm, and developed a program utilizing Python and SageMath; the program is capable of finding the maximum degree with a success rate of 90%.
☐ Leveraged skills in Python, SageMath, Multivariable Calculus, Interpolation.
☐ Led a team of 4 members at the UNM CTSC Health Hackathon – 2020, proposed a digital indoor navigation system for large hospitals that will help each hospital to stop an average revenue leakage of $250000 every year. The proposed system has been selected to be funded by NIH with an initial amount of $10000.
☐ Developed a prototype of a hardware-software integrated system that utilizes QR codes to help patients and staff navigate inside hospitals.
☐ Administered laboratory classes for the ‘Design of Large Programs’ course, instruct students on how to use
different tools related to writing software, and evaluate the projects submitted by the students.
☐ Leveraged skills in Java, Design Patterns
☐ Advanced ongoing research on chronic pain at the Department of Anesthesiology by extracting and running different tests on protein and RNA samples.
Awarded as the outstanding junior (academic year 2019/2020) from the Department of Computer Science in 2020 UNM School of Engineering Annual Awards. Outstanding students are selected by the faculty members of the respective depratments based on a variety of criteria such as GPA, research, and service to the School.
Awarded as the recipient of Fall 2020 VanDyke Software Scholarship by the Department of Computer Science at UNM based on academic merit.
At the UNM CTSC Health Hackathon - 2020, led a team into winning a $10000 worth pilot award for my project proposal on improving indoor navigation system inside hospitals and large building using embedded technologies.
Placed on the Dean's List of the School of Engineering every semester in recognition of the academic excellence shown in the respective semesters.
The International Amigo Scholarship entitles awarded international students to a waiver of the non-resident portion of tuition.
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